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Get Saved Jobs

get_saved_jobs
Read-only

Retrieve job postings saved by your LinkedIn account, returning job IDs you can use to access full job details.

Instructions

List job postings saved by the authenticated LinkedIn user.

Returns job_ids that can be passed to get_job_details for full info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_pagesNoMaximum number of saved-jobs pages to load (1-10, default 3)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The annotations declare readOnlyHint and openWorldHint, so the safety profile is already covered. The description adds value by clarifying that the result is limited to the authenticated user's saved job postings and that it returns job_ids, not full job details—an important behavioral distinction from get_job_details. No contradictions with 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?

Two sentences with no filler. The first sentence states the action and scope, and the second sentence provides the important downstream usage detail about feeding job_ids into get_job_details. Every word earns its place.

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?

For a simple read-only list tool with one optional parameter and an output schema, the description is complete. It identifies the authenticated-user scope, the return value, and the logical next step. The annotations cover read-only and open-world behavior, and the schema covers the only parameter. Nothing essential is missing.

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 input schema already fully documents max_pages with type, default, range, and description, so the description does not need to repeat it. The tool has only one optional parameter, and the schema coverage is 100%. The description adds no parameter-specific meaning, but none is needed.

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 uses a specific verb ('List') and a clear resource ('job postings saved by the authenticated LinkedIn user'), which precisely distinguishes this tool from the sibling search_jobs and get_job_details. It also states the key output type (job_ids) and how they connect to another tool.

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 the right usage context: it is for the authenticated user's own saved jobs, not general job search. It also gives explicit guidance that the returned job_ids should be passed to get_job_details for full information, which effectively routes the agent to the correct follow-up tool. It does not explicitly list when not to use it, but the context is 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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