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kaistenberg

MCP Server for LinkedIn

by kaistenberg

Search Companies

search_companies
Read-only

Search LinkedIn for companies using keywords and retrieve matching company profiles for data access.

Instructions

Search for companies on LinkedIn.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsYesSearch keywords (e.g., "fintech", "anthropic", "electric vehicles")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations already indicate readOnlyHint and openWorldHint, and the description adds no additional behavioral context such as pagination, result limits, or authentication needs. It does not contradict annotations but fails to enhance them.

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

Conciseness4/5

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

The description is a single concise sentence that front-loads the core action. It is efficient and free of fluff, though it borders on under-specification by omitting any additional useful details.

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

Completeness3/5

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

Given the tool's low complexity (one parameter) and the existence of an output schema, the description is minimally adequate. It lacks context about limitations or distinctions from other search tools, making it sufficient but not thorough.

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 documents the keywords parameter with an example, providing 100% coverage. The description adds no extra meaning about parameter usage or format, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: searching for companies on LinkedIn, using a specific verb and resource. It distinguishes from sibling search tools like search_people and search_jobs by the resource type, though it lacks specificity about the search mechanism.

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?

The description provides no guidance on when to use this tool versus alternatives, no exclusions, and no prerequisites. It simply states the action without context for selection.

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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