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neuralverge

NeuralVerge MCP Server

Official
by neuralverge

run_crunchbase_company

Retrieve company information from a Crunchbase URL: website, location, founding year, employees, industries, funding, and description.

Instructions

Fetches structured company data (website, location, founding year, employees, industries, funding, description) from a Crunchbase company URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesCrunchbase organization URL, e.g. https://www.crunchbase.com/organization/openai
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It accurately indicates a read operation and lists the data fields returned, but it does not disclose any potential errors (e.g., invalid URL), rate limits, or the exact return format, leaving some uncertainty.

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, concise sentence that front-loads the action and resource. Every word earns its place, with no unnecessary detail.

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 simple one-parameter fetch tool, the description covers the purpose and lists the expected output fields. Since there is no output schema, the description provides necessary context, though it omits details about error handling and exact return structure.

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 input schema fully describes the single parameter 'url' with a concrete example, achieving 100% coverage. The description adds no additional parameter semantics beyond what the schema already provides.

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?

The description clearly states the tool's function: it fetches structured company data from a Crunchbase company URL. The verb 'Fetches' is specific, and the resource and source are explicitly defined, distinguishing it from sibling tools like run_linkedin_company_search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description makes the usage context clear: use this tool when you have a Crunchbase company URL and need company data. It does not explicitly mention alternatives or exclusions, but given the narrow scope, the guidance is adequate.

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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