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Get Saved Jobs

get_saved_jobs
Read-only

Retrieve saved jobs from LinkedIn, providing raw text and numeric job IDs for further analysis or processing.

Instructions

Get saved jobs from LinkedIn's /jobs-tracker/ page.

Returns saved jobs raw text and a list of numeric job IDs. Pass any job_id to get_job_details for full posting text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate readOnlyHint and openWorldHint. The description adds context about the data source (LinkedIn page) and return format (raw text and numeric IDs), enhancing transparency without contradiction.

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 extremely concise with two sentences that front-load the purpose, and every word adds value without redundancy.

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?

Given no parameters and presence of output schema, the description adequately covers what the tool does and suggests next steps. It is complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% due to zero parameters, so baseline is 3. The description adds value by describing the output, which compensates for not needing parameter details.

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 gets saved jobs from LinkedIn's /jobs-tracker/ page, specifying the output includes raw text and numeric job IDs. It differentiates from sibling get_job_details by indicating a follow-up use.

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 provides clear context on when to use this tool (to get saved jobs) and hints at using get_job_details with a job_id, but does not explicitly state when not to use it or alternatives beyond mentioning the sibling.

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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