Voice Agent Linter

Lints a phone voice agent prompt and platform config before real callers reach it.

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Calidad y seguridad

A
Calidad de la descripción
93%
Integridad del esquema
93%
Calidad de los nombres
87%
Riesgo de envenenamiento
80%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (3)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool 'lint_voice_agent' description contains placeholder texten lint_voice_agent
  • INFOTool description contains placeholder or incomplete texten lint_voice_agent

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~1,215Tokens (definiciones de herramientas)
~2.6 KBTamaño de respuesta típico
Impacto moderado en la atención (0.95% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "voice-linter": {
      "url": "https://mcp.modernmustardseed.com/voice-linter"
    }
  }
}

Puntos de conexión remotos

https://mcp.modernmustardseed.com/voice-linterstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (3)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢lint_voice_agent(system_prompt, config_json, first_message, platform, min_severity)

Check a phone voice agent’s system prompt and, optionally, its config JSON (Vapi assistant, Retell agent or LLM, ElevenLabs agent, or OpenAI Realtime session) against rule-based checks learned on live calls. Finds: no live date and dates without a year; phone numbers, emails, URLs, hyphen ranges and long numbers the voice will misread; no spelling protocol or bare-letter spelling; instructions to pass as human, missing AI disclosure and missing recording notice; scripted tool start lines, stall phrases and silent or long openers; tools with no description, untyped or undescribed parameters, undefined required fields, unformatted date parameters and unstated results; Vapi nested item enums, flat analysisPlan keys, disabled plans and plans without the transcript; ElevenLabs Turbo stutter risk; no transfer or callback path and no end-call; placeholders, secrets, very long prompts and contradictory always and never rules. Each finding has a rule id, severity, the exact line (and JSON path for config), an excerpt, a specific message and the fix; disclosure and recording rules carry their legal citations with the date read. Returns a 0 to 100 score and a verdict. Do not paste credentials: API keys, bearer tokens, passwords and the values of secret-named config fields (apiKey, secret, token, password, credentials, Authorization) are stripped from the input before any check runs and replaced with "[secret removed]", so they are never read, returned, logged or stored; the output says how many were removed. No model reads the input and nothing is stored. Informational, not legal advice.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "system_prompt": {
      "description": "The agent’s system prompt, as plain text. Optional when config_json contains it.",
      "type": "string",
      "maxLength": 120000
    },
    "config_json": {
      "description": "The agent’s config as a JSON string, exactly as the platform exports it (remove keys first; any left are stripped before checking): a Vapi assistant, a Retell agent and/or LLM (or {\"agent\": ..., \"llm\": ...}), an ElevenLabs agent, or an OpenAI Realtime session or session.update event.",
      "type": "string",
      "maxLength": 300000
    },
    "first_message": {
      "description": "The opening line the agent speaks, when it is not in the config.",
      "type": "string",
      "maxLength": 4000
    },
    "platform": {
      "default": "auto",
      "description": "Which platform the config is for. \"auto\" detects it from the JSON.",
      "type": "string",
      "enum": [
        "auto",
        "vapi",
        "retell",
        "elevenlabs",
        "openai_realtime"
      ]
    },
    "min_severity": {
      "default": "low",
      "description": "Only return findings at or above this severity: critical, high, medium or low.",
      "type": "string",
      "enum": [
        "critical",
        "high",
        "medium",
        "low"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢list_lint_rules(platform, category)

List every Voice Agent Linter rule with its id, title, default severity, category, what it reads (prompt, config or both) and the platforms it applies to. Filter by platform or category. Static reference, no network access.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "platform": {
      "description": "Only rules that apply to this platform: vapi, retell, elevenlabs or openai_realtime.",
      "type": "string",
      "enum": [
        "vapi",
        "retell",
        "elevenlabs",
        "openai_realtime"
      ]
    },
    "category": {
      "description": "Only rules in this category.",
      "type": "string",
      "enum": [
        "dates",
        "speech",
        "spelling",
        "disclosure",
        "turn_taking",
        "tools",
        "analysis",
        "voice",
        "call_control",
        "hygiene"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢explain_lint_rule(rule_id)

Explain one Voice Agent Linter rule by id: why it exists, a bad and a good example, the fix, the platforms it applies to, and its sources with the date each was read. Static reference, no network access.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rule_id": {
      "type": "string",
      "enum": [
        "no-live-date",
        "date-without-year",
        "date-param-no-format",
        "phone-as-numerals",
        "email-written-raw",
        "url-written-raw",
        "hyphen-range",
        "long-digit-string",
        "markdown-output",
        "no-spelling-protocol",
        "bare-letter-spelling",
        "english-anchors-multilingual",
        "claims-to-be-human",
        "no-ai-disclosure",
        "no-recording-notice",
        "scripted-tool-start",
        "stall-phrases",
        "silent-opener",
        "long-opener",
        "tool-no-description",
        "tool-param-untyped",
        "tool-param-undescribed",
        "tool-required-missing",
        "tool-result-unstated",
        "vapi-nested-item-enum",
        "vapi-flat-analysis-keys",
        "vapi-analysis-plan-off",
        "vapi-analysis-no-transcript",
        "turbo-tts-stutter",
        "no-human-fallback",
        "no-end-call",
        "vapi-max-duration-default",
        "vapi-free-number-outbound",
        "unfilled-placeholder",
        "secret-in-prompt",
        "prompt-length",
        "contradictory-instructions"
      ],
      "description": "The rule id, for example no-live-date, vapi-nested-item-enum or no-ai-disclosure."
    }
  },
  "required": [
    "rule_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada3 herramientas