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Skeego

opendata-mcp

by Skeego

reject_request_v1_requests__request_id__reject_post

Reject a dataset request by providing a required reason and optional version and comment. Admin-only endpoint for managing data access requests.

Instructions

POST /v1/requests/{request_id}/reject (auth: Bearer OPENDATA_API_KEY) — Reject Request — Reject a dataset request with a reason. Admin-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYes
bodyYesRequest body (application/json) for POST /v1/requests/{request_id}/reject
Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It indicates the action is destructive (reject) and requires admin auth, but does not discuss side effects, reversibility, or error conditions.

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?

The description is concise and front-loaded with key info. However, it redundantly includes the HTTP method and path which may be implied by the tool name.

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

Completeness2/5

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

Given the lack of output schema and missing parameter explanations, the description is incomplete. It does not explain return values, error scenarios, or the effect on the dataset request state.

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

Parameters2/5

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

The description only hints at the 'reason' parameter ('with a reason'), ignoring 'expected_version' and 'comment'. The input schema has low coverage (50%) and the description adds minimal value beyond that.

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 clearly states the action ('Reject Request'), the resource ('dataset request'), and includes a specific constraint ('Admin-only'). It distinguishes from sibling tools like approve_request.

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

Usage Guidelines3/5

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

The description implies usage by admins only and mentions the need for a reason, but does not explicitly state when to use this tool vs alternatives like approve_request or other request manipulations.

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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