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Glama

Unsave Job

unsave_job
Destructive

Remove a LinkedIn job from your saved list by providing the full job posting URL.

Instructions

Remove a saved LinkedIn job posting from your saved list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_urlYesFull URL of the job posting.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.26.2

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already declare destructiveHint=true and openWorldHint=true, so the safety profile is covered. The description only restates the mutation ('Remove') and adds no behavioral context such as idempotency, error behavior for an unsaved job, or authentication requirements.

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?

A single front-loaded sentence with no filler, appropriately sized for a one-parameter tool. It is efficient rather than padded.

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

Completeness3/5

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

An output schema exists so return values need not be explained, and annotations cover the destructive nature. The gap is edge-case behavior (unsaving a job that is not in the saved list) for an otherwise simple tool.

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?

With one parameter and 100% schema description coverage, the schema already documents job_url fully. The description adds no format or constraint detail beyond it, so the baseline 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?

States a specific verb (Remove) and resource (a saved LinkedIn job posting) plus the scope of the operation (from your saved list). It is clear, but it never names the inverse sibling save_job, so sibling differentiation is left to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the name and description; an agent can infer you call this to undo a save. There is no explicit when-to-use guidance, no mention of save_job as the counterpart, and no note about what happens if the job was never saved.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.