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request_repository

Ask a human to create a GitHub repository for this project, in the GitHub account its sponsor connected. Creates a notification and nothing else: when the human accepts, Fileaify creates the repository, links it to the project and gives you write access for the duration they choose. Give a name, a purpose (what this repository holds) and a reason. Returns the request id and pending status; use list_access_requests with wait to learn the decision.

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": {
      "project_id": "<project_id>",
      "name": "<name>",
      "reason": "<reason>"
    },
    "name": "request_repository"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
reasonYes
accountNo
privateNo
purposeNo
project_idYes
result_offsetNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

With annotations only declaring readOnlyHint=false and destructiveHint=false, the description carries real weight: 'Creates a notification and nothing else' pre-empts the wrong assumption that this provisions a repo immediately, and it explains the downstream human-acceptance flow, the resulting link and the write access granted 'for the duration they choose.' That is behavior beyond what the annotations state.

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?

Three sentences, front-loaded with the activation purpose and the critical 'nothing else' caveat before the outcome and input guidance. Dense but every clause carries information; only the final return-value/next-step sentence could be trimmed slightly.

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?

There is no output schema, and the description compensates by stating the return ('the request id and pending status') and the polling path. The async approval workflow and access-grant semantics are covered; only the meaning of the optional account/private/result_offset parameters is absent.

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 description coverage is 0%, so the description must define all seven parameters. It clarifies only name, purpose ('what this repository holds') and reason; account, private, project_id and result_offset are left entirely to the bare schema, which provides no semantics at all for them.

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 a human to create a GitHub repository for this project, in the GitHub account its sponsor connected.' That distinguishes it from read_repositories (read-only listing) and from request_access (other resource classes) without the agent needing to open any schema.

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 the inputs to supply (name, purpose, reason) and explicitly routes the follow-up step: 'use list_access_requests with wait to learn the decision.' What is missing is any explicit exclusion, e.g. when to prefer request_access or when a repository already exists, so the agent must infer that this is only for repos that don't exist yet.

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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