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Linked-API
by Linked-API

search_companies

Search for companies using keyword, employee count, location, and industry filters. Find targeted business leads on LinkedIn to fuel your outreach or market analysis.

Instructions

Allows you to search for companies applying various filtering criteria (st.searchCompanies action).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termNoOptional. Keyword or phrase to search.
limitNoOptional. Number of search results to return. Defaults to 10, with a maximum value of 1000.
filterNoOptional. Object that specifies filtering criteria for companies. When multiple filter fields are specified, they are combined using AND logic.
Behavior2/5

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

With no annotations, the description must carry the full burden, but it merely restates the search action. It omits behavioral traits such as mutability, authorization needs, rate limits, or return structure, providing minimal transparency.

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 sentence with the main action front-loaded. The parenthetical action name is slightly redundant but does not hinder clarity. It is efficient and concise.

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

Completeness2/5

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

Given the nested filter parameter and lack of output schema, the description should clarify return format, pagination, or behavior when no results are found. It fails to provide these essential details, leaving the agent underinformed.

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?

Schema coverage is 100%, so the baseline is 3. The description adds 'various filtering criteria' but does not elaborate beyond what the schema already documents. No extra semantic value is provided.

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 searches for companies with filtering criteria, using a specific verb and resource. However, it does not differentiate from sibling tools like 'nv_search_companies', which likely have similar behavior.

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 guidance is provided on when to use this tool versus alternatives like 'search_people' or 'nv_search_companies'. There is no mention of prerequisites, exclusions, or context for appropriate use.

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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