search_companies
Search for companies on LinkedIn to retrieve detailed profiles, including industry, size, and professional data, using simple queries.
Instructions
Search companies
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Search for companies on LinkedIn to retrieve detailed profiles, including industry, size, and professional data, using simple queries.
Search companies
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. Description does not disclose behavioral traits such as authentication requirements, read-only nature, pagination, rate limits, or any side effects. Fails to inform the agent about operational behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise (two words) but at the cost of clarity. No structure, front-loading, or useful information. It is under-specified rather than efficiently minimal.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no parameters, no output schema, and no annotations, the description is entirely insufficient. The tool operates in a complex domain with many similar tools, yet the description provides no context about what it does or how to use it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema has zero parameters, so baseline is higher. However, description adds no meaning beyond the name. It does not explain what 'search companies' means in terms of scope (e.g., all companies, by keyword, etc.). The information is barely above a restatement.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description is 'Search companies', which is a tautology of the tool name. It does not specify what kind of search, what filters or inputs are used, or what the tool returns. No distinction from sibling tools like search_people or search_jobs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives. There are many sibling search tools, but the description provides no context on selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/BACH-AI-Tools/bachai-linkedin-data-api'
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