Skip to main content
Glama
BACH-AI-Tools

LinkedIn Data API MCP Server

get_company_details_by_id

Retrieve the full details of a LinkedIn company using its unique ID. Enrich company data with comprehensive information including profile, industry, and size.

Instructions

The endpoint enrich full details of the company

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesExample value: 1441
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only states it 'enrich full details', without mentioning permissions, side effects, rate limits, or any constraints. This is insufficient for a mutation tool (though it likely reads).

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?

The description is concise at one sentence but uses an awkward verb ('enrich') and lacks clarity. It could be rewritten more clearly without increasing length.

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 lack of output schema and the presence of many sibling tools (e.g., 'get_company_details', 'get_company_insights_premium'), the description does not clarify what 'full details' includes or how this tool differs. The tool is under-described.

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 schema fully describes the 'id' parameter. The description adds no additional meaning beyond the example value already in the schema. Baseline score of 3 applies.

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 indicates the tool retrieves full company details by ID. Although the verb 'enrich' is non-standard, the purpose is clear. It does not explicitly distinguish from sibling 'get_company_details', but the '_by_id' suffix in the name adds specificity.

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 'get_company_details' or 'get_company_by_domain'. The description lacks any contextual usage advice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

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'

If you have feedback or need assistance with the MCP directory API, please join our Discord server