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fetch_cat_facts

[COST: $0.01] Fetch a random cat fact via the public API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

There are no annotations, so the description carries the full burden. It does disclose the cost ($0.01) and that the data comes from a public API, implying an external network call and no authentication. However, it does not mention potential rate limits, failure modes, or whether the response is read-only (though 'fetch' strongly implies it). The cost and source provide meaningful context beyond the schema, justifying a 3 rather than a 2.

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?

The description is a single, front-loaded sentence with zero filler. The cost information is placed at the start, and the core purpose is stated immediately. Every word earns its place, and it is appropriately sized for a tool with no parameters and a simple output.

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, no-parameter read-only fetch with an output schema present, the description covers the essential purpose, cost, and source. However, it omits any usage guidance or behavioral nuance (e.g., network dependency, latency). While the schema and output schema fill some gaps, the description could still benefit from a sentence indicating when an agent should prefer this tool over, say, fetching a joke or a dog picture.

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?

The tool has zero parameters and schema coverage is 100% (vacuously). Per the calibration guidelines, a tool with 0 parameters gets a baseline of 4, and the description does not need to add parameter-level meaning. It correctly implies there are no inputs needed to fetch a random cat fact.

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 states a specific verb ('Fetch'), a precise resource ('a random cat fact'), and a source ('via the public API'). This clearly distinguishes it from sibling tools like fetch_joke or get_random_dog, which target different content types. An agent can immediately understand what this tool does without inspecting 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 Guidelines2/5

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

The description gives no guidance on when to choose this tool over alternatives. It does not mention any exclusion criteria, prerequisites, or scenarios favoring this tool compared with the many other random-content siblings. The only implicit context is the tool's name and the word 'cat fact', which is not sufficient usage guidance.

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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