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Futurepedia tool

run_futurepedia_tools

Get one AI tool from Futurepedia by slug or URL: description, rating and review count, categories, pricing, key features, pros and cons, use cases, pricing plans, rating breakdown and social links. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYesTool slug or Futurepedia URL. e.g. midjourney

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

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 behavioral burden. It does add one genuinely useful trait not present in structured data - the flat 5-point cost, charged only on successful runs - plus a full list of returned fields. However, it says nothing about failure behavior (e.g. invalid slug), auth requirements, or rate limits, so the disclosure is partial.

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?

Two sentences, front-loaded with the action and resource before the field list and cost. The itemized return-field sentence is long but each element is informative rather than padding; no wasted preamble.

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 must convey the shape of the response, and it does so thoroughly with the field inventory. Combined with the cost disclosure and the dual slug/URL input note, an agent has enough to call this correctly; only failure-mode details are absent.

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?

Only one parameter and schema description coverage is 100%, so the schema already documents the argument and supplies the 'midjourney' example. The description confirms that either a slug or a full Futurepedia URL is accepted, which is a modest addition beyond the schema wording, matching the baseline of 3.

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?

States a specific verb and resource ('Get one AI tool from Futurepedia') and enumerates the returned fields, so the agent knows exactly what this retrieves. It implies differentiation from the sibling search/reviews/alternatives tools via 'one ... by slug or URL', but never names them, so it falls short of a clean 5.

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?

'one AI tool ... by slug or URL' implicitly signals a single-item lookup as opposed to run_futurepedia_tools_search, but there is no explicit when-to-use statement, no exclusion, and no mention of the alternatives/reviews siblings that return overlapping data for the same tool.

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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