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shauryajain21

Linkup Company Research MCP

company_culture

Research a company's culture, employer reputation, and work policies including Glassdoor ratings, awards, remote/hybrid options, and benefits.

Instructions

Get information about a company's culture and employer reputation.

Researches Glassdoor ratings, employer awards, culture attributes, work policy (remote/hybrid/in-office), and benefits.

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
Behavior2/5

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

No annotations provided, and description does not disclose behavioral traits such as data freshness, latency, or failure modes. The description focuses on function and parameters, omitting important behavioral context for a retrieval tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is reasonably structured but somewhat verbose with a full docstring including parameter docs. Front-loaded summary is effective, but some redundancy exists (e.g., listing items in the first paragraph and then parameter docs).

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?

Given the presence of an output schema, the description adequately covers the tool's functionality and parameter semantics. It lacks mention of error conditions or prerequisites, but for a retrieval tool with clear parameters, it is largely complete.

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

Parameters4/5

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

Schema coverage is 0%, but the description's Args section provides clear explanations for all three parameters: company_name, output_format (with meaning of options), and max_results (with range). This adds significant value beyond schema types and defaults.

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?

Description clearly states the tool retrieves company culture and employer reputation, listing specific data sources like Glassdoor ratings, awards, and work policy. This distinguishes it from sibling tools that cover other company aspects.

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?

No explicit guidance on when to use this tool versus alternative company tools (e.g., company_overview, company_leadership). Agent must infer usage from the tool's purpose alone.

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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