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Crawlora MCP

deadline_sections

Read-only

Deadline public editorial or RSS sections accepted by deadline_headlines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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

A3.7/5.0
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 safety profile is covered. The description adds that the data covers 'public editorial or RSS sections', which is useful scope context. It does not disclose whether the list is static or live, or how large it is, but with annotations present the bar is lower.

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?

A single, front-loaded sentence with no filler. Every word carries information: source (Deadline), data type (editorial or RSS sections), and the consuming sibling tool.

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 zero-parameter lookup with an output schema present, the description does not need to explain return values. It identifies the resource and its relationship to deadline_headlines, which is sufficient for correct invocation, though a brief note on what the identifiers are used for would make it airtight.

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 should explain.

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 names the resource (Deadline sections) and its role as the enumerated set of section values, distinguishing it from sibling deadline_headlines by noting it is the input that tool accepts. It lacks an explicit verb (e.g. 'list/retrieve'), so the agent must infer that it returns section identifiers rather than articles.

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 phrase 'accepted by deadline_headlines' implies the caller should use this tool to discover valid section values before calling deadline_headlines, which is a reasonable usage hint. However, there is no explicit when-to-use statement, no mention of alternatives, and no note on how the returned sections relate to deadline_news or deadline_article.

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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