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report_app

Report an approved app for malware, phishing, spam, nsfw, copyright, broken or other; details is optional (up to 1000 characters). Use it for rule violations, not a low score. Limit 20 per day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSlug of an approved app.
reasonYesmalware, phishing, spam, nsfw, copyright, broken, or other.
api_keyNoOptional slop_ API key. Use this when the client cannot send Authorization: Bearer.
detailsNoExtra context, at most 1000 characters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses a rate limit (20/day), the optionality and length cap of details, and that only approved apps are reportable, but says nothing about required auth (api_key vs Bearer), whether a report is reversible, or what happens after submission.

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 front-loaded sentence covering purpose, exclusion, optional parameter bound, and rate limit. Slightly wasteful in re-listing all seven enum values that the schema already enumerates.

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?

For a simple report-submission tool with no output schema, the description covers purpose, scope (approved apps only), reason set, details cap, and rate limit. The main uncovered gap is auth/permission expectations around the optional api_key parameter.

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 100%, so the schema already documents slug, reason, api_key, and details. The description only restates the reason enum values and the 1000-character details cap, adding no semantics beyond the schema; baseline 3 applies.

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 (report) and resource (an approved app), and enumerates the exact reasons accepted. The phrase 'approved app' scopes it and, together with 'not a low score', separates it from siblings like vote or write_review without needing the 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?

Explicitly says when to use it ('rule violations') and when not ('not a low score'), which routes the agent away from review/vote tools. It does not name the alternative sibling to use for a low score, so it falls just short of fully explicit routing.

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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