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run_crunchbase_company

Fetch structured company data from a Crunchbase URL. Returns profile, funding, and firmographic details for research or enrichment.

Instructions

Fetches structured company data from a Crunchbase company URL.

Input Schema

NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.1
    • removedInput schema / properties / url / description
      Removed value: -"Crunchbase organization URL, e.g. https://www.crunchbase.com/organization/openai"
  2. First observedv1.0.0

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 burden of behavioral disclosure. It does not state authentication requirements, rate limits, error behavior, or what 'structured company data' includes, and only weakly implies a read-only fetch operation.

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?

The description is a single, front-loaded sentence with no wasted words. It states the action and the input source immediately.

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 simple one-parameter fetch tool, the description covers the core purpose and input. However, with no output schema and no annotations, it should ideally say more about the returned data, authentication needs, or error conditions.

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

Parameters3/5

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

The single input parameter has no schema description, but the description adds meaning by identifying the expected value as a Crunchbase company URL. It does not specify the URL format or give an example, so it partially compensates for the 0% schema coverage.

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 (Fetches), resource (structured company data), and source (Crunchbase company URL), so the agent knows this is a Crunchbase-specific company data tool. It does not explicitly contrast with the many other company-data siblings, but the source name provides enough differentiation.

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?

The description gives no when-to-use, when-not-to-use, or alternative-tool guidance. It only implies that a Crunchbase company URL is required, leaving the agent to infer when this tool should be selected over other company data tools.

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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