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Geocode AI

Request a feature

request_feature
Destructive

Files a feature request on the public board and upvotes it for you. Use it when the human wishes the API did something it cannot (a boundary type, export format, op or option). It first looks for similar requests: if any match it files nothing and returns them in similar, so you can upvote_feedback the right one; pass force: true to file anyway. Free; needs a key; 10 new items per account a day. The human gets a thank-you email and an email on every status change. Feature requests are public (never the author's email); issues are private to you and the team. Do not include API keys, personal data or customer data. Needs an API key or a connected account.

Input Schema

NameRequiredDescriptionDefault
forceNoFile even when similar requests exist.
titleYesWhat you want, in one line.
detailsNoWhy you need it and what you are building; concrete examples help it get planned.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing the dedup-then-abort behavior and the `similar` return, the force override, cost and rate limit (free, 10 new items per account per day), auth requirement, side-effect emails, and public visibility of the post. It also states a privacy constraint (never the author's email) and an explicit data-hygiene rule. Nothing here contradicts destructiveHint=true or openWorldHint=true; the public, hard-to-retract nature of the post is consistent with them.

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?

Dense but front-loaded: the action and the primary when-to-use condition come first, then dedup behavior, then cost/auth/limits, then privacy constraints. Every sentence carries information an agent would otherwise have to guess, including the rate limit and the public-visibility caveat.

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 3-parameter write tool with no output schema, the description covers trigger, alternatives, dedup semantics, override, cost, quota, auth, side effects, and privacy. There is no meaningful gap an agent would need filled before calling it correctly.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning beyond the schema: `force` is explained as the escape hatch when similar requests exist, and the `similar` response field is described. `title` and `details` are left to their schema descriptions, which is acceptable given full coverage.

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 verb and resource — 'Files a feature request on the public board and upvotes it for you' — and immediately contrasts it with `upvote_feedback` and (later) private issues. An agent can distinguish it from siblings like report_issue or comment_on_feedback without opening a schema.

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

Usage Guidelines5/5

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

Gives an explicit trigger ('when the human wishes the API did something it cannot') with concrete examples of what counts (boundary type, export format, op or option). It also names the alternative path: when similar requests match, file nothing and use upvote_feedback, or pass force to override.

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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