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thisismoney_article

Fetch This Is Money article content from a canonical URL, returning metadata and full body paragraphs as structured JSON for analysis or display.

Instructions

Get This Is Money article content. Returns public This Is Money article metadata and body paragraphs from a canonical article URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesCanonical This Is Money article URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.5

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns metadata and body paragraphs, which is useful, but it does not disclose whether the content is public-only (it says 'public' but doesn't explain what that means), whether the URL must be canonical in a specific format, what happens with invalid or non-canonical URLs, or any rate limits. For a read-only fetch tool, the lack of annotations makes this a notable gap.

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?

The description is two sentences and front-loads the primary action ('Get This Is Money article content') before specifying the return payload. Every sentence earns its place, though the second sentence could be more specific about what 'metadata' includes.

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 single-parameter article fetcher with no output schema, the description is adequate but not complete. It tells the agent what to pass and what to expect back, but it doesn't specify the format of the returned metadata, whether the body paragraphs are raw HTML or plain text, or any error behavior. Given the simplicity of the tool, this is a minor gap, but the lack of annotations and output schema means the description could do more.

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%, so the schema already documents the single 'url' parameter as 'Canonical This Is Money article URL'. The description adds the context that the URL should be canonical and that the tool returns metadata and body paragraphs, but it doesn't add significant new meaning beyond the schema. Baseline 3 is appropriate.

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 states a specific verb ('Get') and resource ('This Is Money article content'), and clarifies it returns metadata and body paragraphs from a canonical article URL. It doesn't explicitly differentiate from sibling article tools like dailymail_article or nzherald_article, but the source name is embedded in the tool name and description, making the purpose clear.

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 description implies usage: provide a canonical This Is Money article URL to retrieve its content. It does not state when to use this tool versus alternatives like thisismoney_headlines or thisismoney_news, nor does it mention any exclusions or prerequisites. The context is clear enough for a single-purpose article fetcher, but no explicit guidance is given.

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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