Hook Detector

request_access

Ask for the beta access code a new account needs (create_account's access_code). email is where the code is sent; note is optional (who you are, up to 500 characters). The owner approves the request and the code is emailed at once; it works once, in any agent or on the web. Returns status pending (waiting for approval) or emailed (sent now). No key needed. Limited to 5 per address per hour. Free.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "email": "<email>"
    },
    "name": "request_access"
  }
}

Input Schema

Name	Required	Description	Default
`note`	No
`email`	Yes

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

AddedSep 26, 2026

TDQS

A4.8/5.0

Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility and covers a lot: owner approval flow, immediate emailing, one-time use, no key needed, rate limit of 5 per address per hour, and the pending/emailed statuses. This is unusually complete behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with the tool's purpose, then adds only high-value operational details. No redundant or filler content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with only two simple parameters, the description covers input semantics, expected workflow, return statuses, authentication, and rate limiting. Nothing an agent needs to call it correctly is missing, and the output schema covers the return structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description compensates fully: email is the destination for the code, and note is optional, identifies the requester, and is capped at 500 characters. Both parameters are explained beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Ask for the beta access code a new account needs' and ties it to create_account's access_code, so an agent can tell this is the request path rather than create/approve/reject/list. It clearly differentiates the tool from siblings like approve_access_request and create_access_code.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives clear context: use this when a new account needs a beta access code and the owner must approve it before the code is emailed. It does not explicitly name alternatives or when not to use it, but the workflow is unambiguous enough to select this tool over siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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