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BACH-AI-Tools

LinkedIn Data API MCP Server

get_hiring_team

Get hiring team and job poster profile details for any LinkedIn job. Provide a job ID or URL to access recruiter and team member information, enabling targeted outreach and candidate insights.

Instructions

Get hiring team/job poster profile details. You can use either a job id or a job URL. One of these is required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoLinkedIn job id
urlNoLinkedIn job url
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It does not mention authentication needs, rate limits, side effects (though likely read-only), or behavior when no team is found. This lack of detail limits transparency.

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?

The description is extremely concise at two sentences, with no wasted words. The key action and parameter constraint are front-loaded, making it efficient for an AI agent to parse.

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

Completeness4/5

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

For a simple read tool with no output schema, the description covers the essential inputs and purpose. However, it lacks guidance on return format or edge cases. Given the low complexity, it is nearly complete but could benefit from mentioning expected output (e.g., names, roles).

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

Parameters4/5

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

The input schema already describes the parameters as 'LinkedIn job id' and 'LinkedIn job url'. The description adds the crucial semantic constraint that exactly one of these is required, which is not enforced in the schema's 'required' array. This adds meaningful context beyond the schema.

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

Purpose5/5

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

The description clearly states the tool retrieves hiring team or job poster profile details, using a specific verb ('Get') and resource. This distinguishes it from sibling tools like 'get_job_details' (which focuses on job posting details) and various profile getters.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description specifies that either a job ID or URL must be provided, clarifying the parameter requirement. However, it does not explicitly state when to use this tool over alternatives like 'get_profile_data' or 'get_job_details', nor does it provide when-not-to-use scenarios.

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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