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Linked-API
by Linked-API

fetch_company

Retrieve LinkedIn company details, including basic information and optional employees, posts, or decision makers.

Instructions

Allows you to open a company page to retrieve its basic information (st.openCompanyPage action). Can optionally retrieve employees, posts and decision makers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyUrlYesPublic or hashed LinkedIn URL of the company. (e.g., 'https://www.linkedin.com/company/microsoft')
retrieveEmployeesNoOptional. Whether to retrieve the company's employees information. Default is false.
retrievePostsNoOptional. Whether to retrieve the company's posts information. Default is false.
retrieveDMsNoOptional. Whether to retrieve the company's decision makers information. Default is false.
postsRetrievalConfigNoOptional. Configuration for retrieving posts. Available only if retrievePosts is true.
dmsRetrievalConfigNoOptional. Configuration for retrieving decision makers. Available only if retrieveDMs is true.
employeesRetrievalConfigNoOptional. Configuration for retrieving employees. Available only if retrieveEmployees is true.
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It mentions opening a company page and retrieving info but does not specify if this is read-only, if it has side effects, or what happens to the session. This is adequate but not comprehensive.

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?

Two sentences, front-loaded with purpose, no irrelevant information. Every sentence earns its place.

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 complexity (7 parameters, nested objects, no output schema), the description provides a high-level overview but lacks details on the return format or behavior of the 'open' action. It is adequate but could be more complete.

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?

All parameters are well-described in the input schema (100% coverage). The description adds minimal extra meaning beyond listing optional retrievals. Baseline 3 is appropriate as the schema does the heavy lifting.

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 retrieves basic company information with optional employees, posts, and decision makers. It uses a specific verb ('open' and 'retrieve') and resource ('company page'). However, it does not explicitly distinguish from similar tools like 'nv_fetch_company'.

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?

There is no guidance on when to use this tool versus alternatives (e.g., search_companies). The description implies using it when you have a company URL, but it does not state prerequisites, ideal scenarios, or conditions to avoid.

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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