MCP MeasureMCP Measure

index observed

GardenArena GardenScript

Simulate farms, validate GardenScript and compare policies with Rust. No outbound LLM calls.

Should I use this

Quality & Safety

A
Description quality
97%
Schema completeness
67%
Naming quality
84%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~5,346Tokens (tool definitions)
~998 BTypical response size
Significant attention impact (4.18% 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": {
    "gardenscript": {
      "url": "https://gardenarena.io/mcp"
    }
  }
}

Remote endpoints

https://gardenarena.io/mcpstreamable-http

What it can do

Tool inventory

Tools (30)

đŸŸĸ Read-only🟡 Write🔴 DeleteâšĒ Unknown
đŸŸĸvalidate_gardenscript(source)

Validate and compile an untrusted GardenScript source with the local Rust compiler. This performs no LLM call and stores nothing.

Input Schema

{
  "type": "object",
  "properties": {
    "source": {
      "title": "Source",
      "type": "string"
    }
  },
  "required": [
    "source"
  ],
  "title": "validate_gardenscriptArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "validate_gardenscriptDictOutput"
}
đŸŸĸget_bamboo_scene(day)

Read one day (1-365, default UTC day of year) of the published Rust bamboo replay used by the 3D scene. Includes sensors, entrant and SHA-256 provenance. Synthetic exhibition only; not an observation, strategy evaluation or hydraulic forecast. Koi are decorative and unranked. No database access, simulation launch, external network or LLM call.

Input Schema

{
  "type": "object",
  "properties": {
    "day": {
      "anyOf": [
        {
          "maximum": 365,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Day"
    }
  },
  "title": "get_bamboo_sceneArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_bamboo_sceneDictOutput"
}
đŸŸĸbamboo_challenge_get

Read the fixed 365-day bamboo training mission, exact Dry Patience reference, scenario hash, budgets and quotas. No run or publication. Read gardenarena://gardenscript/v0.5 for the full language.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "bamboo_challenge_getArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "bamboo_challenge_getDictOutput"
}
đŸŸĸcoop_workshop_get

Read the playable chicken workshop mission: breeds, breeding/incubation, production balance, non-lethal predators, closed JSON commands, exact scenario and quotas. No simulation or database write. Distinct from GardenScript/official competitions.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "coop_workshop_getArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "coop_workshop_getDictOutput"
}
âšĒcoop_workshop_run(journal_json)

Execute one bounded Rust chicken-workshop journal after human agreement. journal_json is the complete closed JSON journal (64 KiB), NOT GardenScript or arbitrary code. Returns reproducible state, event explanations and an export for explicit human import in the 3D game. No persistent game, official write, provider API or automatic publication. Respect retry delays and the agreed call budget.

Input Schema

{
  "type": "object",
  "properties": {
    "journal_json": {
      "maxLength": 65536,
      "title": "Journal Json",
      "type": "string"
    }
  },
  "required": [
    "journal_json"
  ],
  "title": "coop_workshop_runArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "coop_workshop_runDictOutput"
}
đŸŸĸfarm_workshop_get

Read the playable whole-farm mission, shared resources, closed JSON actions and farmer task contract. Educational simulation, no run or official write.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "farm_workshop_getArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_workshop_getDictOutput"
}
âšĒfarm_workshop_run(journal_json)

Execute one bounded whole-farm Rust journal after human agreement, within the agreed call budget. journal_json is complete closed JSON, max 64 KiB, not GardenScript. Returns game state, evidence-linked farmer tasks and an export for explicit human import. No autonomous daemon, publication, LLM call or persistent game.

Input Schema

{
  "type": "object",
  "properties": {
    "journal_json": {
      "maxLength": 65536,
      "title": "Journal Json",
      "type": "string"
    }
  },
  "required": [
    "journal_json"
  ],
  "title": "farm_workshop_runArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_workshop_runDictOutput"
}
âšĒfarm_next_event(journal_json, care_json, max_days)

Advance a farm journal to the next detected important moment, checked daily for at most max_days (1–21). Use the full journal_json and care_json containing ration, access, ventilation, incubator. Consumes one agreed calculation call. Returns the accepted ordinary journal, unchanged Rust result, season guide and evidence-linked stop reason. No automatic care, publication or persistent write; human chooses whether to import.

Input Schema

{
  "type": "object",
  "properties": {
    "journal_json": {
      "maxLength": 65536,
      "title": "Journal Json",
      "type": "string"
    },
    "care_json": {
      "maxLength": 1024,
      "title": "Care Json",
      "type": "string"
    },
    "max_days": {
      "default": 21,
      "maximum": 21,
      "minimum": 1,
      "title": "Max Days",
      "type": "integer"
    }
  },
  "required": [
    "journal_json",
    "care_json"
  ],
  "title": "farm_next_eventArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_next_eventDictOutput"
}
âšĒfarm_autopilot_run(journal_json, max_days, budget_credits)

Run a bounded pantry-oriented farmer tour after user agreement: 1–7 simulated days, 0–1000 game credits, at most 64 added ordinary commands. Deterministic Rust rules, not a live LLM. Gathers food, handles care and irrigation, cuts mature bamboo for supports, composts and cooks available ingredients. No sales, new animals, publication or background daemon. Returns the exact replayable journal and per-action reasons/costs; a human chooses whether to import.

Input Schema

{
  "type": "object",
  "properties": {
    "journal_json": {
      "maxLength": 65536,
      "title": "Journal Json",
      "type": "string"
    },
    "max_days": {
      "default": 1,
      "maximum": 7,
      "minimum": 1,
      "title": "Max Days",
      "type": "integer"
    },
    "budget_credits": {
      "default": 200,
      "maximum": 1000,
      "minimum": 0,
      "title": "Budget Credits",
      "type": "integer"
    }
  },
  "required": [
    "journal_json"
  ],
  "title": "farm_autopilot_runArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_autopilot_runDictOutput"
}
đŸŸĸfarm_campaign_get

Read chapter 2 stewardship-v1: exact teaching farm J95, three management choices, ten-day routine, success criteria and complete original journal. No calculation or publication; not the player's private farm. JSON plan, NOT GardenScript.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "farm_campaign_getArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_campaign_getDictOutput"
}
âšĒfarm_campaign_run(choices_json)

Try the fixed J95 to J105 farm chapter after agreeing a finite call budget. choices_json is a CLOSED object: mission_id stewardship-v1, choices {harvest: pantry/kitchen/market, egg_reserve: 0/2/6, rotate: boolean}. At most ten days, 100 added ordinary commands; shared workshop quotas. Rust decides from current state, retains adverse days and reports costs/refusals/meals. No arbitrary journal, GardenScript, publication, persistent save, LLM call or background search. Return the complete export; human chooses adoption. Local meals do not imply full autonomy.

Input Schema

{
  "type": "object",
  "properties": {
    "choices_json": {
      "maxLength": 1024,
      "title": "Choices Json",
      "type": "string"
    }
  },
  "required": [
    "choices_json"
  ],
  "title": "farm_campaign_runArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_campaign_runDictOutput"
}
đŸŸĸfarm_policy_get

Read GardenScript 0.6 farm.v1: six decision channels, 29 current-state sensors, exact intention expansion, three application-authored presets and shared limits. No run, persistent write or LLM call. Read before writing a farm policy.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "farm_policy_getArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_policy_getDictOutput"
}
đŸŸĸfarm_policy_validate(source)

Validate a closed GardenScript 0.6 farm.v1 source, maximum 16 KiB. Local Rust only; line diagnostics and exact source/canonical hashes. Shared workshop quota; no run, persistence or publication.

Input Schema

{
  "type": "object",
  "properties": {
    "source": {
      "maxLength": 16384,
      "title": "Source",
      "type": "string"
    }
  },
  "required": [
    "source"
  ],
  "title": "farm_policy_validateArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_policy_validateDictOutput"
}
âšĒfarm_policy_run(journal_json, source, max_days, budget_credits)

Run a GardenScript 0.6 farm.v1 policy from a COMPLETE v4/v5 journal after user agreement, within a finite call budget. Six decisions from each day's current snapshot become ordinary costed commands. No future weather archive access or cancellation of bad days: shortages pause AFTER commitment. Returns export, exact source, rule/sensor witnesses, accepted/rejected commands and costs. Not an official competition or the legacy precognitive safety helper. No LLM calls, publication, persistent game or daemon; human explicitly imports the result.

Input Schema

{
  "type": "object",
  "properties": {
    "journal_json": {
      "maxLength": 65536,
      "title": "Journal Json",
      "type": "string"
    },
    "source": {
      "maxLength": 16384,
      "title": "Source",
      "type": "string"
    },
    "max_days": {
      "default": 1,
      "maximum": 7,
      "minimum": 1,
      "title": "Max Days",
      "type": "integer"
    },
    "budget_credits": {
      "default": 200,
      "maximum": 1000,
      "minimum": 0,
      "title": "Budget Credits",
      "type": "integer"
    }
  },
  "required": [
    "journal_json",
    "source"
  ],
  "title": "farm_policy_runArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_policy_runDictOutput"
}
đŸŸĸfarm_compare_get

Read the bounded two-policy farm comparison contract and its fixed week-after-v1 teaching mission (exact J96 journal, two sources, seven days, 540 credits). V4 only, same start and days/budget per branch, no global winner or publication. Read the farm policy contract for syntax. No paired trial or persistent write.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "farm_compare_getArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_compare_getDictOutput"
}
âšĒfarm_compare_run(journal_json, source_a, source_b, max_days, budget_credits)

Compare two GardenScript farm.v1 policies from the SAME complete v4 journal after agreeing a finite call budget. Two trials, 1–7 days and identical 0–1000 game-credit ceilings. Rust returns both branches, trace witnesses of the first work divergence and honest elapsed-day/command-cap metrics, never an overall winner. Charges two shared workshop quota units. No game mutation, persistence, publication, LLM calls or unattended search. Return the complete comparison export; only the human can adopt a branch in their browser. No legacy future-veto helper, v5 weather or official ranking.

Input Schema

{
  "type": "object",
  "properties": {
    "journal_json": {
      "maxLength": 65536,
      "title": "Journal Json",
      "type": "string"
    },
    "source_a": {
      "maxLength": 16384,
      "title": "Source A",
      "type": "string"
    },
    "source_b": {
      "maxLength": 16384,
      "title": "Source B",
      "type": "string"
    },
    "max_days": {
      "default": 3,
      "maximum": 7,
      "minimum": 1,
      "title": "Max Days",
      "type": "integer"
    },
    "budget_credits": {
      "default": 200,
      "maximum": 1000,
      "minimum": 0,
      "title": "Budget Credits",
      "type": "integer"
    }
  },
  "required": [
    "journal_json",
    "source_a",
    "source_b"
  ],
  "title": "farm_compare_runArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_compare_runDictOutput"
}
đŸŸĸfarm_weather_search(query)

Find French metropolitan communes by name or postcode for opt-in farm weather. Public administrative data, cached and bounded. No IP geolocation, precise address, game mutation or LLM call.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "maxLength": 60,
      "minLength": 2,
      "title": "Query",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "title": "farm_weather_searchArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_weather_searchDictOutput"
}
đŸŸĸfarm_weather_get(commune_code, start_date, station_id)

Read cached real MET Norway forecasts and a continuous MÊtÊo-France station archive for a chosen French commune INSEE code. Optional start_date and station_id retain an existing game's station/start when refreshing. Returns a frozen snapshot, station distance, dates and licences. Forecasts are not observations and never fill the tank. No game mutation, precise user location, paid API, LLM call or publication. Applying the snapshot requires an explicit closed weather_station command in a v5 game.

Input Schema

{
  "type": "object",
  "properties": {
    "commune_code": {
      "maxLength": 5,
      "minLength": 5,
      "title": "Commune Code",
      "type": "string"
    },
    "start_date": {
      "anyOf": [
        {
          "maxLength": 10,
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Start Date"
    },
    "station_id": {
      "anyOf": [
        {
          "maxLength": 8,
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Station Id"
    }
  },
  "required": [
    "commune_code"
  ],
  "title": "farm_weather_getArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "farm_weather_getDictOutput"
}
âšĒbamboo_training_run(source)

Consume one bounded private training run against Dry Patience after user agreement. GardenScript 0.5 bamboo only, fixed public scenario and budgets. Shared web/MCP quotas; temporary local storage, no official submission or publication, no LLM call. Keep run_token private.

Input Schema

{
  "type": "object",
  "properties": {
    "source": {
      "maxLength": 16384,
      "title": "Source",
      "type": "string"
    }
  },
  "required": [
    "source"
  ],
  "title": "bamboo_training_runArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "bamboo_training_runDictOutput"
}
đŸŸĸbamboo_training_explain(run_token, day)

Read a private training comparison and evidence-linked moments. Optional day 1-365 returns both actual Rust decision traces, not a rerun. Requires the private GardenArena run_token, not a provider credential.

Input Schema

{
  "type": "object",
  "properties": {
    "run_token": {
      "pattern": "^[0-9a-f]{64}$",
      "title": "Run Token",
      "type": "string"
    },
    "day": {
      "anyOf": [
        {
          "maximum": 365,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Day"
    }
  },
  "required": [
    "run_token"
  ],
  "title": "bamboo_training_explainArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "bamboo_training_explainDictOutput"
}
đŸŸĸbamboo_training_artifact(run_token)

Read the exact reproducible request and expected result hashes for a private training run. Includes strategy sources: do not publish automatically. Full trace JSON downloadable through the documented POST export. No run or official ledger write.

Input Schema

{
  "type": "object",
  "properties": {
    "run_token": {
      "pattern": "^[0-9a-f]{64}$",
      "title": "Run Token",
      "type": "string"
    }
  },
  "required": [
    "run_token"
  ],
  "title": "bamboo_training_artifactArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "bamboo_training_artifactDictOutput"
}
đŸŸĸlist_garden_arenas(status, limit, offset)

List GardenScript arenas. This is local, read-only, and performs no LLM call.

Input Schema

{
  "type": "object",
  "properties": {
    "status": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Status"
    },
    "limit": {
      "default": 50,
      "title": "Limit",
      "type": "integer"
    },
    "offset": {
      "default": 0,
      "title": "Offset",
      "type": "integer"
    }
  },
  "title": "list_garden_arenasArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "list_garden_arenasDictOutput"
}
đŸŸĸget_garden_arena(arena_slug)

Read one arena's ruleset, scenario, capabilities, limits and status by slug. This performs no LLM call.

Input Schema

{
  "type": "object",
  "properties": {
    "arena_slug": {
      "title": "Arena Slug",
      "type": "string"
    }
  },
  "required": [
    "arena_slug"
  ],
  "title": "get_garden_arenaArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_garden_arenaDictOutput"
}
🟡submit_garden_strategy(arena_slug, source, entrant_name, model_provider, model_name, ...)

Submit externally generated GardenScript to an arena. The source is validated again by the local Rust compiler. Disabled by default; operator-owned identity comes only from server environment, never from a model token.

Input Schema

{
  "type": "object",
  "properties": {
    "arena_slug": {
      "title": "Arena Slug",
      "type": "string"
    },
    "source": {
      "title": "Source",
      "type": "string"
    },
    "entrant_name": {
      "title": "Entrant Name",
      "type": "string"
    },
    "model_provider": {
      "default": "user_declared",
      "title": "Model Provider",
      "type": "string"
    },
    "model_name": {
      "default": "user_declared",
      "title": "Model Name",
      "type": "string"
    },
    "model_version": {
      "default": "user_declared",
      "title": "Model Version",
      "type": "string"
    },
    "prompt_sha256": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Prompt Sha256"
    },
    "transcript_sha256": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Transcript Sha256"
    }
  },
  "required": [
    "arena_slug",
    "source",
    "entrant_name"
  ],
  "title": "submit_garden_strategyArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "submit_garden_strategyDictOutput"
}
đŸŸĸget_garden_results(arena_slug)

Read the sealed results for a GardenScript arena. Performs no simulation or LLM call.

Input Schema

{
  "type": "object",
  "properties": {
    "arena_slug": {
      "title": "Arena Slug",
      "type": "string"
    }
  },
  "required": [
    "arena_slug"
  ],
  "title": "get_garden_resultsArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_garden_resultsDictOutput"
}
🟡entry_create(arena_id, trial_id, evaluation_mode, identity_assurance, competition_scope, ...)

Create a Reality Trial 001 policy entry. Returns an explicit entry_id. Returns a private entry_nonce once; keep it for all mutations. An idempotent retry requires that nonce and never returns it again. Identity assurance can only be anonymous or declared. Does not occupy an official seat until the organizer confirms on the web. Write-gated.

Input Schema

{
  "type": "object",
  "properties": {
    "arena_id": {
      "default": "plant-v0.2",
      "title": "Arena Id",
      "type": "string"
    },
    "trial_id": {
      "default": "reality-trial-001",
      "title": "Trial Id",
      "type": "string"
    },
    "evaluation_mode": {
      "default": "one_shot_blind",
      "title": "Evaluation Mode",
      "type": "string"
    },
    "identity_assurance": {
      "default": "declared",
      "title": "Identity Assurance",
      "type": "string"
    },
    "competition_scope": {
      "default": "official",
      "title": "Competition Scope",
      "type": "string"
    },
    "model_claim": {
      "default": "undeclared",
      "title": "Model Claim",
      "type": "string"
    },
    "provider_claim": {
      "default": "undeclared",
      "title": "Provider Claim",
      "type": "string"
    },
    "host_claim": {
      "default": "user MCP host",
      "title": "Host Claim",
      "type": "string"
    },
    "idempotency_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Idempotency Key"
    },
    "entry_nonce": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Entry Nonce"
    }
  },
  "title": "entry_createArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "entry_createDictOutput"
}
âšĒstrategy_validate(entry_id, source, entry_nonce)

Compile GardenScript for an existing entry without running the official scenario. Requires its private entry_nonce. Consumes that entry's validation budget.

Input Schema

{
  "type": "object",
  "properties": {
    "entry_id": {
      "title": "Entry Id",
      "type": "string"
    },
    "source": {
      "title": "Source",
      "type": "string"
    },
    "entry_nonce": {
      "title": "Entry Nonce",
      "type": "string"
    }
  },
  "required": [
    "entry_id",
    "source",
    "entry_nonce"
  ],
  "title": "strategy_validateArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "strategy_validateDictOutput"
}
âšĒstrategy_prepare_seal(entry_id, entry_nonce)

Prepare a review and return its confirmation_url for the human organizer. Requires the private entry_nonce. Does not grant authority to seal. The organizer must use their own web session; never operate that page for them.

Input Schema

{
  "type": "object",
  "properties": {
    "entry_id": {
      "title": "Entry Id",
      "type": "string"
    },
    "entry_nonce": {
      "title": "Entry Nonce",
      "type": "string"
    }
  },
  "required": [
    "entry_id",
    "entry_nonce"
  ],
  "title": "strategy_prepare_sealArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "strategy_prepare_sealDictOutput"
}
đŸŸĸstrategy_seal(entry_id, entry_nonce, validation_receipt_id, confirmation_handle)

Read acknowledgment of an already human-confirmed seal. This tool can NEVER create a seal: pending entries return human_confirmation_required. Give the preparation's confirmation_url to the organizer instead. Legacy receipt/handle arguments are ignored, never approval credentials.

Input Schema

{
  "type": "object",
  "properties": {
    "entry_id": {
      "title": "Entry Id",
      "type": "string"
    },
    "entry_nonce": {
      "title": "Entry Nonce",
      "type": "string"
    },
    "validation_receipt_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Validation Receipt Id"
    },
    "confirmation_handle": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Confirmation Handle"
    }
  },
  "required": [
    "entry_id",
    "entry_nonce"
  ],
  "title": "strategy_sealArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "strategy_sealDictOutput"
}
đŸŸĸartifact_verify(digest)

Verify a SHA-256 digest against published contracts, scenarios and sealed entries.

Input Schema

{
  "type": "object",
  "properties": {
    "digest": {
      "title": "Digest",
      "type": "string"
    }
  },
  "required": [
    "digest"
  ],
  "title": "artifact_verifyArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "artifact_verifyDictOutput"
}

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