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search_jobs

Find LinkedIn job postings matching keywords and location, with optional filters for job type, experience level, remote options, and posting age.

Instructions

Search LinkedIn jobs by keyword/location.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kwYes
locNo
typeNo
expNo
remoteNo
ageNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

With no annotations provided, the description must disclose behavioral traits such as authentication needs, rate limits, or result handling. The description is a single phrase with no such details, leaving the agent unaware of important behavior.

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

Conciseness2/5

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

The description is extremely short, but it sacrifices necessary detail. True conciseness would pack value into few words without omitting critical information. Here, it is under-specified.

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

Completeness1/5

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

Given 7 parameters, an output schema, and many sibling tools, the description is woefully incomplete. It fails to mention return format, pagination, or how to filter effectively. The agent cannot confidently use this tool based on the description alone.

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?

Schema description coverage is 0%. The description mentions keyword and location but does not explain any parameter details, including the allowed enum values or the meaning of each field. The agent receives no additional context beyond parameter names.

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 states the action (search) and resource (jobs) along with criteria (by keyword/location). However, it does not differentiate from sibling tools like search_jobs_advanced or search_jobs_multi, which could confuse the agent about which to use.

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 others, no conditions for use, and no exclusions. The agent must infer usage solely from the name and description.

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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