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Glama

Apply To Job

apply_to_job
Destructive

Start the application flow for a LinkedIn job posting using its URL, letting AI assistants initiate applications through your local logged-in browser.

Instructions

Start the application flow for a LinkedIn job posting.

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
Behavior3/5

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

Annotations already declare openWorldHint=true and destructiveHint=true, covering the safety profile. The description adds that this kicks off an application flow, but does not clarify whether it actually submits, whether the action is reversible, or what authentication/redirect behavior follows — meaningful gaps for a destructive, open-world tool.

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 or repetition. It is efficient, though the terseness borders on under-specification for a destructive action.

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?

With an output schema present, return values need not be described, and annotations cover the safety profile. However, for a one-click destructive application action, the description should clarify what actually happens (submission vs. navigation) — a notable gap given the stakes.

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?

There is only one parameter (job_url) and schema description coverage is 100%, so the schema fully documents it. The description adds no format or sourcing details, which is the expected baseline when the schema does the work.

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 states a specific verb ('start') and resource ('application flow for a LinkedIn job posting'), which distinguishes it from read-only siblings like get_job_details, get_job_apply_url, and save_job. It stops short of 5 because 'start the application flow' leaves ambiguity about whether an application is actually submitted or merely a flow is opened.

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?

There is no guidance on when to use this versus alternatives such as get_job_apply_url, get_job_details, or save_job, and no prerequisites (login state, prior job retrieval) are stated. The agent must infer the calling context entirely.

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