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Crawlora MCP

barrons_topics

Read-only

Every Barron's topic accepted by barrons_headlines, with each topic's slug, display name, and landing-page URL.

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

A4.2/5.0
Behavior4/5

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 enumeration is complete ('Every ... topic') and ties it to the barrons_headlines input vocabulary, which is meaningful context beyond the annotations.

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 sentence with the scoping constraint and the payload fields front-loaded; no filler, no redundancy.

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 enumeration tool with an output schema present, the description covers what is returned and its relationship to barrons_headlines. Only the explicit routing guidance ('use this to find a topic slug before calling barrons_headlines') is left implicit.

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 the baseline is 4. The description mentions slug, display name and landing-page URL, but these are return fields already covered by the output schema, not input 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?

Names a specific resource (Barron's topics) and scopes it precisely as 'every topic accepted by barrons_headlines', which distinguishes it from barrons_headlines, barrons_news and barrons_article. It even enumerates the returned fields, so an agent knows exactly what it yields.

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 reference to barrons_headlines implies the tool is a lookup of valid topic slugs for that endpoint, which is useful implied guidance. However, there is no explicit when-to-use statement, no exclusions, and no comparison against siblings such as barrons_news.

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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