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BACH-AI-Tools

LinkedIn Api8 MCP Server

get_company_details_by_id

Retrieve comprehensive company information by providing a unique company ID. Access full details including profile, industry, and more from LinkedIn data.

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?

No annotations are provided, so the description must disclose behavioral traits. The term 'enrich' could imply a write operation, which contradicts the read-only intent of a 'get' tool. No clarity on idempotency, side effects, or authorization needs.

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

Conciseness2/5

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

The description is only one sentence, but it is poorly worded and uses 'enrich' incorrectly. While brevity is good, clarity is sacrificed. A more straightforward phrasing like 'Retrieves full details of a company by its unique ID' would be better.

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?

No output schema is provided, so the description should hint at what 'full details' includes. It does not. Given many sibling tools, it fails to clarify overlap or data uniqueness. Completeness is insufficient for a retrieval tool.

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% (the single 'id' parameter is described in the schema). The description adds no additional meaning about the parameter format, constraints, or relationship to other tools. Baseline 3 is appropriate.

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

Purpose3/5

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

The description says 'enrich full details', which is vague and grammatically poor. The tool name 'get_company_details_by_id' already clearly states the purpose, so the description adds little value. It does not effectively differentiate from siblings like 'get_company_by_domain' or 'get_company_details'.

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. There are many sibling tools for company data (e.g., by domain, insights, employees count) but the description offers no usage context, prerequisites, or exclusions.

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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