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Crawlora MCP

fortune_company

Read-only

One company's public Fortune profile: fact sheet, Fortune rankings it appears on, workplace data tables, earnings report links, and social accounts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
slugNo

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

B3/5.0
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 usefully discloses the payload contents (fact sheet, rankings, workplace tables, earnings links, socials), but says nothing about how a company is identified or whether the lookup requires url vs slug.

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?

A single front-loaded sentence that packs the return contents efficiently with no filler. It is slightly list-heavy but nothing is wasted.

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?

An output schema exists, so return values need no explanation. However, with two completely undocumented identifier parameters and no usage guidance, the definition is not complete enough for an agent to confidently invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not mention either parameter. The agent cannot tell from the definition whether 'url' and 'slug' are alternative identifiers, what form a slug takes, or whether one is preferred over the other.

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 a specific resource (one company's public Fortune profile) and enumerates the contents: fact sheet, rankings, workplace data, earnings links, social accounts. An agent can distinguish this from list-style siblings like fortune_companies or fortune_ranking, though the description never explicitly differentiates itself from them.

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 when-to-use guidance, no prerequisites, and no mention of alternatives. The agent is left to infer that this is a per-company detail lookup versus fortune_companies (a list) purely from the noun 'company'.

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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