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fastcompany_article

Read-only

One public Fast Company article's metadata and body paragraphs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds that the article is 'public' (no auth) and that the payload contains metadata plus body paragraphs, which is useful context beyond the annotations, but it says nothing about rate limits, failures, or fetch behavior.

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 tight sentence that front-loads what is returned and wastes no words. Underspecified rather than verbose.

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?

With an output schema present, the return shape needn't be spelled out, and annotations cover the safety profile. However, the description never tells the agent where a valid URL comes from, which is the one thing needed to call a single-URL fetch tool correctly, leaving a real gap for a 1-param tool.

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 (url) with 0% schema description coverage, but the name 'url' is largely self-explanatory and the description implies a Fast Company article URL. The description adds no format, canonicalization, or sourcing details, so it neither compensates nor misleads.

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 clear resource (one Fast Company article) and what it returns (metadata and body paragraphs). It implicitly distinguishes itself from siblings like fastcompany_news, fastcompany_headlines and fastcompany_sections by being the single-article fetch, though it never names those siblings explicitly.

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?

There is no when-to-use guidance. It doesn't explain that the tool expects an article URL obtained from fastcompany_headlines/news, nor when an agent should reach for this versus those list tools. Usage is only inferable from the name.

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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