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administrativetrick

LinkedIn Jobs MCP Server

search_linkedin_jobs

Search LinkedIn job listings using advanced filters for keyword, location, salary, experience level, job type, and remote preference. Returns results with position title, company, location, salary information, and application links.

Instructions

Search for jobs on LinkedIn with advanced filtering options. Returns job listings with position titles, company names, locations, salary information, and application links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYesJob title or keywords to search for (e.g., 'software engineer', 'product manager')
locationYesLocation to search in (e.g., 'San Francisco', 'New York', 'remote')
dateSincePostedNoFilter by posting date
jobTypeNoType of employment
remoteFilterNoWork location type
salaryNoMinimum salary filter
experienceLevelNoRequired experience level
limitNoNumber of jobs to return (1-100, default: 10)
sortByNoSort results by recency or relevance
pageNoPage number for pagination (default: 0)
Behavior3/5

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

The description discloses the output fields but does not mention any behavioral aspects like side effects, authentication, or rate limits. Since no annotations are provided, the description should carry more burden; however, the output focus is adequate.

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?

Two concise sentences front-load the purpose and output. No unnecessary words.

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 search tool with detailed schema, the description covers purpose and output. Lacks mention of pagination or sorting defaults, but these are in schema. Overall complete given constraints.

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?

All parameters have schema descriptions (100% coverage), so the description adds little beyond mentioning 'advanced filtering options.' Baseline 3 is appropriate.

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 searches for jobs on LinkedIn with filtering options, using specific verbs and resource. No siblings exist, so differentiation is irrelevant.

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 implies usage for job search from LinkedIn, but does not explicitly state when to use or when not to use. With no sibling tools, the lack of exclusions is acceptable, making the context clear.

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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