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techcrunch_article

Read-only

Fetch public TechCrunch article metadata, dates, section, lead image, and body paragraphs from a canonical url. Use techcrunch_headlines for story lists or techcrunch_news for the general feed.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "techcrunch_article"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesCanonical TechCrunch article URL

Output 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. Changed1 schema field changed
    • addedInput schema / properties / url / description
      Added value: +"Canonical TechCrunch article URL"
  2. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safe read-only profile is covered. The description adds that the fetch targets a 'public' article (implying no auth) and that it returns full body paragraphs, which is useful context. It says nothing about pagination, rate limits, or failure behavior, but with annotations carrying the safety profile a 3 is appropriate.

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?

Two sentences with zero filler; the resource and payload description are front-loaded, and the disambiguation sentence follows. Every clause earns its place.

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?

With an output schema present, return values need not be explained, and the annotations cover the safety profile. The description adequately covers purpose, scope of fetched data, and sibling routing for a one-parameter article tool; only minor behavioral 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?

Schema description coverage is 100% and the single `url` parameter is already documented as a 'Canonical TechCrunch article URL'. The description's mention of 'from a canonical url' restates the schema rather than adding format or constraint detail, so baseline 3 is correct.

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 (Fetch) and resource (public TechCrunch article), then enumerates exactly what is retrieved: metadata, dates, section, lead image, and body paragraphs. It also explicitly routes away from the two closest siblings, so an agent can identify it without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

Contains an explicit alternative-selection rule: 'Use techcrunch_headlines for story lists or techcrunch_news for the general feed.' This tells the agent both when to use this tool (single canonical article URL) and which sibling to pick for list-style needs.

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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