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Skeego

opendata-mcp

by Skeego

remove_upvote_v1_requests__request_id__upvote_delete

Remove an upvote from a dataset request by providing the request ID. This action cancels your previous upvote on that specific request.

Instructions

DELETE /v1/requests/{request_id}/upvote (auth: Bearer OPENDATA_API_KEY) — Remove Upvote — Remove an upvote from a dataset request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYes
Behavior2/5

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

With no annotations, the description must communicate behavioral traits. It identifies the HTTP method (DELETE) and auth requirement, but does not explain side effects (e.g., whether the user must have previously upvoted, if the operation is idempotent, or what the response looks like).

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 at one sentence, but includes the HTTP method and auth in parentheses which may be redundant given the tool name. It is front-loaded but could be structured more clearly.

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

Completeness3/5

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

For a simple removal tool with one parameter and no output schema, the description is minimally adequate. However, it lacks context about prerequisites (e.g., user must have upvoted first) and expected outcomes.

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 single parameter 'request_id' has no description in the schema (0% coverage), and the description does not clarify its meaning beyond the schema. The agent must infer that it refers to a dataset request ID.

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 tool removes an upvote from a dataset request, using the verb 'Remove' and specifying the resource 'upvote from a dataset request'. It distinguishes from the sibling tool 'upvote_request' which performs the opposite action.

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?

Usage is implied by the action name and description, but there is no explicit guidance on when to use this tool versus alternatives like 'upvote_request'. No exclusions or conditions are mentioned.

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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