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Crawlora MCP

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sciencealert_sections

Fetch all public top-level ScienceAlert sections to select or filter headline categories.

Instructions

Get ScienceAlert sections. Returns the complete public top-level ScienceAlert taxonomy used by headlines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.7

TDQS

B3.1/5.0
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 behavioral burden, yet it discloses only that the output is 'complete' and 'public'—no auth requirements, rate limits, caching, or mutability context. 'Get' implies a safe read, but that is inference rather than disclosure.

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?

Two short sentences, front-loaded with the action and followed by the return-content clarification. No wasted words, though the second sentence is slightly repetitive of the first.

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 no-parameter listing tool with no output schema and no annotations, the description identifies what is returned but omits how to use it alongside the headlines/news siblings and omits any behavioral context. Adequate but with clear gaps.

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 takes zero parameters, so per the rubric the baseline is 4. There are no parameter semantics the description could or need add.

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 specific verb and resource ('Get ScienceAlert sections') and adds that it returns the complete public top-level taxonomy used by headlines, which clarifies scope. It does not explicitly differentiate itself from the many sibling *_sections tools or the sciencealert_headlines/author tools, so it falls short of a 5.

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 statement of when to use this tool versus alternatives such as sciencealert_headlines or sciencealert_news. Usage is only implied by the mention of the taxonomy 'used by headlines,' leaving the agent to infer that this is a discovery/lookup step.

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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