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shauryajain21

Linkup Company Research MCP

company_market

Get industry classification, market size (TAM/SAM/SOM), growth rate, trends, and regulatory environment for a company.

Instructions

Get information about the market and industry context for a company.

Researches industry classification, market size (TAM/SAM/SOM), industry growth rate, market trends, and regulatory environment.

Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum sources to consider (1-50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_resultsNo
company_nameYes
output_formatNoanswer

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, leaving the description as the sole source for behavioral traits. It describes the tool as a research operation (implied read-only) but does not disclose auth needs, rate limits, or side effects. The description is adequate but not detailed.

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 concise, front-loading the main purpose and then listing parameters efficiently. Every sentence adds value, with no unnecessary fluff.

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?

The description covers the tool's functionality and inputs well, and an output schema is present. It does not address edge cases like company not found, but overall completeness is high for a research tool.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by explaining each parameter: company_name, output_format (with values 'answer' and 'structured'), and max_results (with range 1-50). This adds significant meaning beyond the schema.

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 provides market and industry context for a company, listing specific aspects like industry classification, market size, growth rate, trends, and regulatory environment. This distinguishes it from siblings such as competitive_landscape or company_strategy.

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 description implies usage through its purpose, but does not explicitly state when to use this tool versus alternatives or provide conditions for use. No exclusionary guidance is offered.

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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