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run_futurepedia_categories

Fetch Futurepedia AI tool categories with tool counts and parent groups, optionally filtered by group to compare category coverage.

Instructions

AI tool categories of Futurepedia with the number of tools in each and the group they belong to (the top sub-categories shown on the Futurepedia categories page). Optional group filter. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupNoGroup. Options: productivity = AI Productivity Tools, video = AI Video Tools, text-generators = AI Text Generators, business = AI Business Tools, image = AI Image Tools, automations = Automation Tools, art = AI Art Generators, audio-generators = AI Audio Generators, misc-tools = Misc AI Tools, code = AI Code Tools

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose a genuine behavioral trait absent from structured fields ('Flat 5 points per successful run'), which is useful cost context, and it states what data comes back. It says nothing about read-only nature, auth, rate limits, or pagination, so the safety profile remains undocumented.

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 compact sentences with the returned data front-loaded, followed by the optional filter and the cost note. Every sentence carries information; the parenthetical about the categories page is slightly wordy but adds provenance.

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, so the description usefully compensates by describing the return shape (categories, tool counts, groups). For a single optional-enum-parameter listing tool this is nearly complete; only the safety/pagination profile is left unstated.

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% and the single group parameter is fully enumerated with human-readable labels, so the schema does the heavy lifting. The description adds only that the filter is optional, which is marginal value beyond the schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (Futurepedia AI tool categories) and specifies the payload: each category with its tool count and group. It reads clearly as a listing operation, distinct from run_futurepedia_tools. It stops short of explicitly naming the sibling it differs from, so it is clear but not fully differentiated.

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 phrase 'Optional group filter' implies you may call it with no arguments to get all categories or with a group to narrow the result, which is adequate implied usage. It gives no guidance on when to prefer this over run_producthunt_categories, run_capterra_categories, or run_futurepedia_tools, and no exclusions.

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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