Voice Agent Linter
Lints a phone voice agent prompt and platform config before real callers reach it.
我该使用它吗
质量与安全性
发现(3)
- HIGH
- MEDIUM在 lint_voice_agent 中
- INFO在 lint_voice_agent 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中:
{
"mcpServers": {
"voice-linter": {
"url": "https://mcp.modernmustardseed.com/voice-linter"
}
}
}远程端点
https://mcp.modernmustardseed.com/voice-linterstreamable-http它能做什么
工具清单
工具(3)
🟢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.
输入模式
{
"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"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢list_lint_rules(platform, category)
List every Voice Agent Linter rule with its id, title, default severity, category, what it reads (prompt, config or both) and the platforms it applies to. Filter by platform or category. Static reference, no network access.
输入模式
{
"type": "object",
"properties": {
"platform": {
"description": "Only rules that apply to this platform: vapi, retell, elevenlabs or openai_realtime.",
"type": "string",
"enum": [
"vapi",
"retell",
"elevenlabs",
"openai_realtime"
]
},
"category": {
"description": "Only rules in this category.",
"type": "string",
"enum": [
"dates",
"speech",
"spelling",
"disclosure",
"turn_taking",
"tools",
"analysis",
"voice",
"call_control",
"hygiene"
]
}
},
"$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.
输入模式
{
"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"
}社区
证据