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arstechnica_sections

Retrieve Ars Technica's section inventory with navigation and RSS-feed categories (AI, Gadgets, Science, Security, Space). Each section links to its public RSS feed for news aggregation.

Instructions

Get Ars Technica sections. Returns the Ars Technica section inventory: the site's own current navigation and RSS-feed-directory sections (AI, Gadgets, Science, Security, Space, and others), each linking to its public RSS feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.5

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are present, so the description must convey behavior. It explains the output is a section inventory with links to public RSS feeds, which is useful. However, it does not mention response format, item structure, or any dynamic/caching behavior, leaving some behavioral context implicit.

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, front-loaded with the verb+resource, then a compact explanation of the payload. No redundancy or wasted words.

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?

For a parameterless inventory tool, the description covers what the tool returns and includes examples. It lacks an explicit statement of response structure (e.g., array of {name, url}), but the RSS-feed reference gives a reasonable idea. With no output schema, a bit more shape detail would improve completeness.

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, so the empty schema is self-sufficient. Per baseline for 0-param tools, the description need not add parameter semantics.

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+resource ('Get Ars Technica sections') and specifies the exact scope (site's own current navigation and RSS-feed-directory sections), with examples. This clearly distinguishes it from sibling tools for other sites and from arstechnica_headlines, arstechnica_news, etc.

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

Usage Guidelines4/5

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

The description clearly implies when to use this tool: whenever an agent needs the list of Ars Technica sections or their RSS feeds. It gives clear context but does not explicitly contrast with alternatives like arstechnica_headlines or other *_sections tools, so no explicit when-not guidance is provided.

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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