Agentic Diaries Audit

Checks what a support agent knew but did not say against its policies. Free tier, no login.

Should I use this

Quality & Safety

A
Description quality
80%
Schema completeness
100%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~182Tokens (tool definitions)
~981 BTypical response size
Minimal attention impact (0.14% 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": {
    "behavioral-audit": {
      "url": "https://receipts-mcp.vercel.app/api/mcp"
    }
  }
}

Remote endpoints

https://receipts-mcp.vercel.app/api/mcpstreamable-http

What it can do

Tool inventory

Tools (1)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢disclosure_check(customer_message, draft_reply)

Check a draft support reply for disclosure gaps before sending it. Given what the customer said and the reply you are about to send, it flags any should-know policy the customer's situation made relevant that the draft failed to proactively surface (the knew-but-did-not-say gap). Returns a verdict (pass or gap); on a gap, each missed policy and the line that should have been surfaced. It detects and suggests, it does not rewrite.

Input Schema

{
  "type": "object",
  "properties": {
    "customer_message": {
      "type": "string",
      "description": "What the customer said, verbatim."
    },
    "draft_reply": {
      "type": "string",
      "description": "The reply you are about to send."
    }
  },
  "required": [
    "customer_message",
    "draft_reply"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Community

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Evidence

Recent observations

verifiedversion not recorded1 tools
verifiedversion not recorded1 tools