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shauryajain21

Linkup Company Research MCP

company_strategy

Research a company's strategic direction including growth strategy, expansion plans, M&A history, acquisition rumors, and IPO signals.

Instructions

Get information about a company's strategic direction.

Researches growth strategy, expansion plans (geographic, product, vertical), M&A history, acquisition rumors, and IPO signals.

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
Behavior4/5

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

No annotations are provided, so the description must carry behavioral traits. It discloses output format options and max_results, but does not explicitly state it is read-only or non-destructive. Still, it is fairly transparent.

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-loaded with the main purpose, and efficiently lists parameters. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, the description adequately covers the research scope and parameter details. It is complete for a research tool among many siblings.

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 explains each parameter: company_name, output_format (with values), and max_results (with range). This adds significant value 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 retrieves a company's strategic direction, listing specific topics like growth strategy, M&A, and IPO signals. This distinguishes it from other company_* siblings by focusing on 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 explains what the tool does but provides no guidance on when to use it versus alternatives like company_overview or competitive_landscape. Usage context is implied but not explicit.

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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