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Hassan220022

harvestapi-mcp

by Hassan220022

harvest_search_jobs

Search and filter LinkedIn jobs by title, company, location, salary, and employment type to identify relevant opportunities.

Instructions

Search LinkedIn jobs by title, company, location, filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default 1)
geoIdNoFilter by LinkedIn Geo ID (overrides location)
salaryNoSalary range filter
searchNoKeywords to search for in job titles
sortByNoSort by: relevance, date
locationNoFilter by location
companyIdNoFilter by company ID or URL (comma-separated)
easyApplyNoFilter jobs with Easy Apply
functionIdNoJob function ID filter
industryIdNoIndustry ID filter
postedLimitNoPosted date filter: 24h, week, month
workplaceTypeNoWorkplace type: on-site, remote, hybrid
employmentTypeNoEmployment type: full-time, part-time, contract, temporary, volunteer, internship
experienceLevelNoExperience level filter
under10ApplicantsNoFilter jobs with under 10 applicants
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention output format, pagination, rate limits, permissions, or any potential side effects. The description only restates the basic search operation.

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

Conciseness4/5

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

The description is a single, front-loaded sentence with no wasted words. It is concise and easy to parse, though it sacrifices informative depth for brevity.

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 the tool's complexity (15 parameters, no output schema, no annotations), the description is inadequate. It does not explain what a successful search returns, how the 'page' parameter works, or any behavioral caveats, leaving significant gaps for an agent.

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?

The schema covers 100% of the 15 parameters with descriptive text. The description's mention of 'title, company, location, filters' summarizes some parameters but adds no new semantic detail beyond what the schema already provides, so the baseline of 3 applies.

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

Purpose4/5

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

The description clearly identifies the verb 'Search' and the resource 'LinkedIn jobs', with specific fields 'title, company, location, filters'. This differentiates it from sibling search tools by resource, though 'filters' is somewhat generic and doesn't enumerate them.

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 compared to alternatives like harvest_search_companies or harvest_search_profiles. It simply describes the action without any 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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