MCP MeasureMCP Measure

index observed

performix-site

Performix public corpus over MCP: guides, books, evidence, outcome models, plus a computing tool.

Should I use this

Quality & Safety

B
Description quality
95%
Schema completeness
79%
Naming quality
98%
Poisoning risk
40%
Permission match
100%
Protocol compliance
100%

Findings (7)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool 'list_evidence_sources' description contains placeholder textin list_evidence_sources
  • MEDIUMTool 'get_evidence_source' description contains placeholder textin get_evidence_source
  • MEDIUMTool 'get_guide_part' description contains placeholder textin get_guide_part
  • INFOTool description contains placeholder or incomplete textin list_evidence_sources
  • INFOTool description contains placeholder or incomplete textin get_evidence_source
  • INFOTool description contains placeholder or incomplete textin get_guide_part

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~4,855Tokens (tool definitions)
~3.7 KBTypical response size
Significant attention impact (3.79% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "performix-site": {
      "url": "https://performix.app/api/mcp"
    }
  }
}

Remote endpoints

https://performix.app/api/mcpstreamable-http

What it can do

Tool inventory

Tools (11)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢list_guides

List the public, grounded capability guides published on performix.app/guide — each a cross-book model of the evidence for one hard executive capability (e.g. leading an R&D team). Free to read in full; no auth required.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "guides": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "slug": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "subtitle": {
            "type": "string"
          },
          "actionStatement": {
            "type": "string"
          },
          "clusterId": {
            "type": "string"
          }
        },
        "required": [
          "slug",
          "title",
          "subtitle",
          "actionStatement",
          "clusterId"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "count",
    "guides"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢get_guide(slug)

Get the full free content of one capability guide by slug (from list_guides) — the five-movement guide structure (Orient, Map, Master, Reflect, Measure): the pitch/overview, every load-bearing section (summary, why it matters, misconception/reality, how-to, watch-out-fors, grounding), the open tensions in the corpus, and the sources grounding it. This is the same content rendered publicly at performix.app/guide/<slug> — never the entitlement-gated 'depth' layer.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Guide slug, e.g. lead-high-performing-rd-team."
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "guide": {
      "type": "object",
      "properties": {
        "slug": {
          "type": "string"
        },
        "cluster_id": {
          "type": "string"
        },
        "title": {
          "type": "string"
        },
        "subtitle": {
          "type": "string"
        },
        "action_statement": {
          "type": "string"
        },
        "pitch": {
          "type": "string"
        },
        "overview": {
          "type": "string"
        },
        "status": {
          "type": "string"
        },
        "sections": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "construct_id": {
                "type": "string"
              },
              "name": {
                "type": "string"
              },
              "stage": {
                "type": "string"
              },
              "priority": {
                "type": "number"
              },
              "summary": {
                "type": "string"
              },
              "why_it_matters": {
                "type": "string"
              },
              "misconception_reality": {
                "type": "array",
                "items": {
                  "type": "object",
                  "properties": {
                    "misconception": {
                      "type": "string"
                    },
                    "reality": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "misconception",
                    "reality"
                  ],
                  "additionalProperties": false
                }
              },
              "how_to": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "watch_out_for": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "grounded_in": {
                "type": "array",
                "items": {
                  "type": "object",
                  "properties": {
                    "title": {
                      "type": "string"
                    },
                    "library_id": {
                      "type": [
                        "string",
                        "null"
                      ]
                    }
                  },
                  "required": [
                    "title",
                    "library_id"
                  ],
                  "additionalProperties": false
                }
              }
            },
            "required": [
              "construct_id",
              "name",
              "stage",
              "priority",
              "summary",
              "why_it_matters",
              "misconception_reality",
              "how_to",
              "watch_out_for",
              "grounded_in"
            ],
            "additionalProperties": false
          }
        },
        "tensions": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "name": {
                "type": "string"
              },
              "guidance": {
                "type": "string"
              },
              "status": {
                "type": "string"
              },
              "poles": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              }
            },
            "required": [
              "name",
              "guidance",
              "status",
              "poles"
            ],
            "additionalProperties": false
          }
        },
        "sources": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string"
              },
              "author": {
                "type": "string"
              },
              "library_id": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "abstract": {
                "type": "string"
              }
            },
            "required": [
              "title",
              "author",
              "library_id",
              "abstract"
            ],
            "additionalProperties": false
          }
        },
        "grounding_summary": {
          "type": "string"
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "slug",
        "cluster_id",
        "title",
        "subtitle",
        "action_statement",
        "pitch",
        "overview",
        "status",
        "sections",
        "tensions",
        "sources",
        "grounding_summary",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "guide"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢list_books(query)

List the performance-science reading corpus behind Performix — book/cluster profiles, each with a stance toward the CAMS diagnostic thesis (ally, orthodoxy, mixed, leave-out) and a one-line argument summary. Optional `query` filters by a case-insensitive substring match against title, authors, tradition and blurb.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Case-insensitive substring filter against title/authors/tradition/blurb.",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "books": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "slug": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "authors": {
            "type": "string"
          },
          "year": {
            "type": "string"
          },
          "tradition": {
            "type": "string"
          },
          "stanceLabel": {
            "type": "string"
          },
          "stance": {
            "type": "string"
          },
          "blurb": {
            "type": "string"
          }
        },
        "required": [
          "slug",
          "title",
          "authors",
          "year",
          "tradition",
          "stanceLabel",
          "stance",
          "blurb"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "count",
    "books"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢get_book(slug)

Get the full grounded profile for one book/cluster record by slug (from list_books): the record's own argument (contrast-not-summary) plus metadata and cross-links. Same content rendered publicly at performix.app/learn/books/<slug>.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Book slug, e.g. aguinis-performance-management."
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "book": {
      "type": "object",
      "properties": {
        "slug": {
          "type": "string"
        },
        "title": {
          "type": "string"
        },
        "authors": {
          "type": "string"
        },
        "year": {
          "type": "string"
        },
        "tradition": {
          "type": "string"
        },
        "stanceLabel": {
          "type": "string"
        },
        "stance": {
          "type": "string"
        },
        "blurb": {
          "type": "string"
        },
        "guidePartSlugs": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "useCaseSlugs": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "canonicalLibraryId": {
          "type": [
            "string",
            "null"
          ]
        },
        "body": {
          "type": "string"
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "slug",
        "title",
        "authors",
        "year",
        "tradition",
        "stanceLabel",
        "stance",
        "blurb",
        "guidePartSlugs",
        "useCaseSlugs",
        "canonicalLibraryId",
        "body",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "book"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢list_evidence_sources(query, camsDimension)

List the 196 source records behind Performix's Performance Science Library — each a book, paper or corpus item with at least one derived finding, plus which CAMS dimensions (capability/alignment/motivation/support) its findings touch. Same source list rendered at performix.app/learn/evidence. NOTE: 132 of 196 sources carry an upstream placeholder citation title pending backfill (HO-2431) — check `citationPlaceholder` before treating `title`/`venue` as a real bibliographic record. Optional `query` filters by a case-insensitive substring over authors/title/venue; optional `camsDimension` filters to sources with at least one finding filed on that dimension.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Case-insensitive substring filter against authors/title/venue.",
      "type": "string"
    },
    "camsDimension": {
      "description": "Restrict to sources with at least one finding filed on this CAMS dimension.",
      "type": "string",
      "enum": [
        "capability",
        "alignment",
        "motivation",
        "support"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "sources": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "sourceType": {
            "type": "string"
          },
          "authors": {
            "type": "string"
          },
          "year": {
            "type": "number"
          },
          "title": {
            "type": "string"
          },
          "venue": {
            "type": "string"
          },
          "citationPlaceholder": {
            "type": "boolean"
          },
          "camsDimensions": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "findingsCount": {
            "type": "number"
          }
        },
        "required": [
          "id",
          "sourceType",
          "authors",
          "year",
          "title",
          "venue",
          "citationPlaceholder",
          "camsDimensions",
          "findingsCount"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "count",
    "sources"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢get_evidence_source(id)

Get the full source → finding → construct → survey-item evidence chain for one source by id (from list_evidence_sources): its citation, every finding extracted from it, the constructs derived from each finding, and the survey items derived from each construct. Same content rendered at performix.app/learn/evidence/<id>. HONESTY: the citation is exposed as-is, including the 132 sources still carrying a placeholder title (HO-2431) — `citationPlaceholder` says which.

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Source id, e.g. source.corpus.aguinis_2019 (from list_evidence_sources)."
    }
  },
  "required": [
    "id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "source": {
      "type": "object",
      "properties": {
        "id": {
          "type": "string"
        },
        "sourceType": {
          "type": "string"
        },
        "citation": {
          "type": "object",
          "properties": {
            "authors": {
              "type": "string"
            },
            "year": {
              "type": "number"
            },
            "title": {
              "type": "string"
            },
            "venue": {
              "type": "string"
            },
            "doi": {
              "type": [
                "string",
                "null"
              ]
            },
            "url": {
              "type": [
                "string",
                "null"
              ]
            }
          },
          "required": [
            "authors",
            "year",
            "title",
            "venue",
            "doi",
            "url"
          ],
          "additionalProperties": false
        },
        "citationPlaceholder": {
          "type": "boolean"
        },
        "ingestedAt": {
          "type": "string"
        },
        "findings": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "label": {
                "type": "string"
              },
              "pageRange": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "camsDimension": {
                "type": "string"
              },
              "camsSubconstruct": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "evidenceGrade": {
                "type": "string"
              },
              "studyType": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "constructs": {
                "type": "array",
                "items": {
                  "type": "object",
                  "properties": {
                    "id": {
                      "type": "string"
                    },
                    "label": {
                      "type": "string"
                    },
                    "camsDimension": {
                      "type": "string"
                    },
                    "surveyItems": {
                      "type": "array",
                      "items": {
                        "type": "object",
                        "properties": {
                          "id": {
                            "type": "string"
                          },
                          "text": {
                            "type": "string"
                          },
                          "camsDimension": {
                            "type": "string"
                          },
                          "evidenceWeight": {
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "irtDifficulty": {
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "inActiveRotation": {
                            "type": "boolean"
                          }
                        },
                        "required": [
                          "id",
                          "text",
                          "camsDimension",
                          "evidenceWeight",
                          "irtDifficulty",
                          "inActiveRotation"
                        ],
                        "additionalProperties": false
                      }
                    }
                  },
                  "required": [
                    "id",
                    "label",
                    "camsDimension",
                    "surveyItems"
                  ],
                  "additionalProperties": false
                }
              }
            },
            "required": [
              "id",
              "label",
              "pageRange",
              "camsDimension",
              "camsSubconstruct",
              "evidenceGrade",
              "studyType",
              "constructs"
            ],
            "additionalProperties": false
          }
        },
        "sourceStats": {
          "type": "object",
          "properties": {
            "findings": {
              "type": "number"
            },
            "constructs": {
              "type": "number"
            },
            "surveyItems": {
              "type": "number"
            }
          },
          "required": [
            "findings",
            "constructs",
            "surveyItems"
          ],
          "additionalProperties": false
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "id",
        "sourceType",
        "citation",
        "citationPlaceholder",
        "ingestedAt",
        "findings",
        "sourceStats",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "source"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢list_outcome_models

List the constructed outcome-model register behind Performix diagnostics — 28 per-outcome factor models generated from principia's meta-analytic library, each with its driver count, grade-A driver count, CAMS filing counts, and persona reach. Same register rendered at performix.app/learn/models. Also returns `namedUnmodellable` — outcomes named in the catalog with no constructed model yet. MEASUREMENT-INTEGRITY (PFX-589): this list carries no effect sizes at all; call get_outcome_model for a driver table, which withholds `r` below evidence tier T3 exactly as the public page does.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "models": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "outcomeId": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "depth": {
            "type": "string"
          },
          "driverCount": {
            "type": "number"
          },
          "gradeACount": {
            "type": "number"
          },
          "principiaId": {
            "type": "string"
          },
          "personaCount": {
            "type": "number"
          },
          "status": {
            "type": "string"
          },
          "camsCounts": {
            "type": "object",
            "properties": {
              "capability": {
                "type": "number"
              },
              "alignment": {
                "type": "number"
              },
              "motivation": {
                "type": "number"
              },
              "support": {
                "type": "number"
              },
              "unmapped": {
                "type": "number"
              }
            },
            "required": [
              "capability",
              "alignment",
              "motivation",
              "support",
              "unmapped"
            ],
            "additionalProperties": false
          }
        },
        "required": [
          "outcomeId",
          "name",
          "depth",
          "driverCount",
          "gradeACount",
          "principiaId",
          "personaCount",
          "status",
          "camsCounts"
        ],
        "additionalProperties": false
      }
    },
    "namedUnmodellable": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "count",
    "models",
    "namedUnmodellable"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢get_outcome_model(id)

Get one outcome's full driver table by id (from list_outcome_models): every driver's name, definition, CAMS dimension, lens role, evidence grade, study count (k), and evidence-reliability tier — plus drivers cited in the corpus with no meta-analytic effect size, and the personas that own this outcome. Same content rendered at performix.app/learn/models/<id>. MEASUREMENT-INTEGRITY (PFX-589, a portfolio standing rule): a driver's `r` is null unless its tier is T3 — this tool withholds exactly what the public page withholds and nothing less; VOI figures and overlap-corrected variance contributions are never exposed by this tool at any tier.

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Outcome id, e.g. quota_attainment (from list_outcome_models)."
    }
  },
  "required": [
    "id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "model": {
      "type": "object",
      "properties": {
        "outcomeId": {
          "type": "string"
        },
        "name": {
          "type": "string"
        },
        "unit": {
          "type": "string"
        },
        "depth": {
          "type": "string"
        },
        "principiaId": {
          "type": "string"
        },
        "registerVersion": {
          "type": "string"
        },
        "drivers": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "constructId": {
                "type": "string"
              },
              "name": {
                "type": "string"
              },
              "definition": {
                "type": "string"
              },
              "camsDimension": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "lensRole": {
                "type": "string"
              },
              "evidenceGrade": {
                "type": "string"
              },
              "kStudies": {
                "type": "number"
              },
              "tier": {
                "type": "string"
              },
              "r": {
                "type": [
                  "number",
                  "null"
                ]
              },
              "tierLabel": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "calibration": {
                "type": "object",
                "properties": {
                  "display": {
                    "type": "string"
                  },
                  "title": {
                    "type": "string"
                  }
                },
                "required": [
                  "display",
                  "title"
                ],
                "additionalProperties": false
              }
            },
            "required": [
              "constructId",
              "name",
              "definition",
              "camsDimension",
              "lensRole",
              "evidenceGrade",
              "kStudies",
              "tier",
              "r",
              "tierLabel",
              "calibration"
            ],
            "additionalProperties": false
          }
        },
        "driversNotHeld": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "name": {
                "type": "string"
              }
            },
            "required": [
              "name"
            ],
            "additionalProperties": false
          }
        },
        "personas": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "slug": {
                "type": "string"
              },
              "label": {
                "type": "string"
              }
            },
            "required": [
              "slug",
              "label"
            ],
            "additionalProperties": false
          }
        },
        "disclosure": {
          "type": "string"
        },
        "generatedBy": {
          "type": "string"
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "outcomeId",
        "name",
        "unit",
        "depth",
        "principiaId",
        "registerVersion",
        "drivers",
        "driversNotHeld",
        "personas",
        "disclosure",
        "generatedBy",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "model"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢list_guide_parts

List all 12 parts (8 numbered parts + 4 appendices) of the Team Performance Science Guide, Performix's cited public reference on why team performance varies and the CAMS diagnostic frame — same table of contents rendered at performix.app/learn. Each row carries `status` (live | draft | stub) so a caller can see which parts are actually publishable before calling get_guide_part.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "parts": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "slug": {
            "type": "string"
          },
          "numberLabel": {
            "type": "string"
          },
          "position": {
            "type": "number"
          },
          "title": {
            "type": "string"
          },
          "description": {
            "type": "string"
          },
          "status": {
            "type": "string"
          },
          "camsDimension": {
            "type": [
              "string",
              "null"
            ]
          }
        },
        "required": [
          "slug",
          "numberLabel",
          "position",
          "title",
          "description",
          "status",
          "camsDimension"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "count",
    "parts"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢get_guide_part(slug)

Get the full body of one Team Performance Science Guide part by slug (from list_guide_parts). Same content rendered at performix.app/learn/<slug>. A part whose `status` is `stub` has no publishable body yet and returns an error rather than a placeholder — check `list_guide_parts`' `status` field first if you want to skip those.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Guide part slug, e.g. part-2-capability (from list_guide_parts)."
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "part": {
      "type": "object",
      "properties": {
        "slug": {
          "type": "string"
        },
        "numberLabel": {
          "type": "string"
        },
        "position": {
          "type": "number"
        },
        "title": {
          "type": "string"
        },
        "description": {
          "type": "string"
        },
        "status": {
          "type": "string"
        },
        "camsDimension": {
          "type": [
            "string",
            "null"
          ]
        },
        "body": {
          "type": "string"
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "slug",
        "numberLabel",
        "position",
        "title",
        "description",
        "status",
        "camsDimension",
        "body",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "part"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}
🟢self_diagnose_book(slug, ratings)

The runnable library's weakest-lever read, computed here from the committed book model: rate how present each of the book's levers is on your team (1–5) and get the one to work on first, ranked by weakness then causal leverage — the SAME function performix.app/learn/library uses. Levers come from list_books' exec-shelf slugs (e.g. the-culture-code). N=1, self-report, not psychometrically calibrated: tier INFERRED. Refuses degenerate ratings (fewer than two levers rated, all ratings equal, or values outside 1–5) instead of inventing an answer.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Exec-shelf book slug, e.g. the-culture-code."
    },
    "ratings": {
      "type": "object",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {
        "type": "number"
      },
      "description": "Lever id → rating 1..5 (lever ids come from the book's model constructs; rate at least two)."
    }
  },
  "required": [
    "slug",
    "ratings"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    },
    "title": {
      "type": "string"
    },
    "itemsTotal": {
      "type": "number"
    },
    "weakest": {
      "type": "object",
      "properties": {
        "id": {
          "type": "string"
        },
        "label": {
          "type": "string"
        },
        "rating": {
          "type": "number"
        },
        "outDegree": {
          "type": "number"
        },
        "score": {
          "type": "number"
        },
        "drivesOutcomes": {
          "type": "array",
          "items": {
            "type": "string"
          }
        }
      },
      "required": [
        "id",
        "label",
        "rating",
        "outDegree",
        "score",
        "drivesOutcomes"
      ],
      "additionalProperties": false
    },
    "ranked": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "label": {
            "type": "string"
          },
          "rating": {
            "type": "number"
          },
          "outDegree": {
            "type": "number"
          },
          "score": {
            "type": "number"
          },
          "drivesOutcomes": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        },
        "required": [
          "id",
          "label",
          "rating",
          "outDegree",
          "score",
          "drivesOutcomes"
        ],
        "additionalProperties": false
      }
    },
    "honesty": {
      "type": "object",
      "properties": {
        "basis": {
          "type": "string"
        },
        "tier": {
          "type": "string",
          "const": "INFERRED"
        },
        "note": {
          "type": "string"
        }
      },
      "required": [
        "basis",
        "tier",
        "note"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "slug",
    "title",
    "itemsTotal",
    "weakest",
    "ranked",
    "honesty"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

Recommended Prompts

retrieve_data
Get details about [item] from performix-site
Expected tools: get_guide
fetch_info
Fetch [information type] using performix-site
Expected tools: get_guide
list_items
List all [items] available in performix-site
Expected tools: list_guides
browse_collection
Show me the [collection] from performix-site
Expected tools: list_guides
explore_workflow
List available [items], then get details for each one using performix-site
Expected tools: list_guidesget_guide

Community

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Evidence

Recent observations

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