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Check request status

get_request_status
Read-only

Status of a request posted with post_request: validating, needs_info (with the questions to ask the person), published (with the public link), rejected (with a short note). Pass the same email used to post it.

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": {
      "request_code": "<request_code>"
    },
    "name": "get_request_status"
  }
}

Input Schema

NameRequiredDescriptionDefault
emailNoThe email the request was posted with.
request_codeYesThe request_code returned by post_request.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, so safety is covered. The description adds real behavioral value by describing the shape of each status response (questions to ask, public link, rejection note), though it says nothing about what happens for an unknown or expired request code.

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

Conciseness4/5

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

A single dense sentence, front-loaded with the purpose and followed by the status enumeration with inline payload hints. The fragment style is terse but every clause carries information; a slightly more explicit opening verb would read better.

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

Completeness4/5

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

With no output schema, the description carries the burden of explaining return values and does so across all four statuses. Combined with annotations covering the read-only profile, an agent has enough to call it correctly; only error/not-found behavior is unaddressed.

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

Parameters3/5

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

Schema coverage is 100% and both parameters are documented, including the link between request_code and post_request. The description's 'pass the same email used to post it' largely restates the schema's email description, so it adds little beyond reinforcement of the pairing.

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?

States a specific resource (a request posted with post_request) and enumerates the exact statuses returned (validating, needs_info, published, rejected). This makes it immediately distinguishable from the sibling post_request, which creates rather than checks requests.

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?

Usage context is clear: call this for a request previously created via post_request, and supply the same email used to post it. It stops short of explicit exclusions or pointing to siblings such as answer_request_question when status is needs_info.

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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