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kaistenberg

MCP Server for LinkedIn

by kaistenberg

Get Job Details

get_job_details
Read-only

Retrieve job details for a specific LinkedIn posting using its job ID.

Instructions

Get job details for a specific job posting on LinkedIn.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesLinkedIn job ID (e.g., "4252026496", "3856789012")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description does not need to restate safety. However, the description adds no extra behavioral context (e.g., return format, live data implications, potential errors) beyond the purpose. It does not contradict the annotations.

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 a single, front-loaded sentence that directly states purpose. Every word earns its place, and there is no redundancy or fluff.

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

Completeness5/5

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

With an output schema present and a single well-documented parameter, the description is sufficient for a simple get-by-id operation. The scope is clear, and the presence of an output schema means the description does not need to explain return values.

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%, and the description does not add meaning beyond the schema. The job_id parameter is well-documented in the schema with examples, so the description's mention of 'specific job posting' aligns but provides no additional value.

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 verb 'Get' and resource 'job details' for a specific job posting, distinguishing it from search_jobs or get_saved_jobs. The use of 'specific' and the job_id parameter make the purpose unambiguous.

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

Usage Guidelines3/5

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

The description implies this tool is for retrieving details when you already have a specific job ID, but it does not explicitly mention when to use it versus alternatives like search_jobs or get_saved_jobs. No exclusions or alternative references are provided.

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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