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BACH-AI-Tools

LinkedIn Api8 MCP Server

get_company_employees_count

Retrieve the total number of employees at a company, with optional filtering by location to target specific regions.

Instructions

Get company employees count (location filter possible)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the burden. 'Get' implies a read operation, but the description mentions a location filter with no corresponding parameter, which is confusing and potentially misleading about the tool's actual behavior.

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 a single sentence, which is concise, but it omits critical details such as how the company is specified (maybe via context?). It could be restructured to clarify the contradiction about parameters.

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 no output schema and no annotations, the description is incomplete. It does not explain how to specify the company (e.g., via domain, ID), nor does it resolve the location filter paradox. A more complete description would address these gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, yet the description claims a location filter is possible. This contradiction means the description adds no meaningful semantic value and actively misleads.

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 states 'Get company employees count' which is a clear verb+resource, but it's vague because it doesn't specify which company or how the company is identified. The parenthetical '(location filter possible)' adds ambiguity since the input schema has no parameters.

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 on when to use this tool versus siblings like get_company_details or get_company_insights_premium. No exclusions or prerequisites mentioned.

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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