apply_for_job

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

With no annotations, the description carries the full burden of disclosure. It describes the navigation steps, click actions, and the case of failing due to custom required fields. This provides good transparency about the tool's behavior, though it omits prerequisites like login status or potential side effects (e.g., submitting an application).

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

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

The description is concise with two paragraphs: the first clearly states the main action and steps, the second lists arguments. It is front-loaded and avoids unnecessary detail, though the second paragraph could be integrated more smoothly.

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

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

Given the tool's simplicity (one parameter, clear action) and the presence of an output schema, the description covers the main behavioral aspects, including a failure mode. It lacks context about prerequisites (e.g., session state) and return value details, but these are partially addressed by the implicit context and output schema.

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

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

Schema description coverage is 0%, so the description must compensate. However, it only restates the parameter name and type ('LinkedIn job ID') without adding meaningful context like how to obtain the job_id (e.g., from search results) or its format. The added value is minimal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it attempts to Easy Apply for a job on LinkedIn, specifying the verb 'apply', the resource 'job', and the method 'Easy Apply'. It distinguishes itself from sibling tools like get_job_details (view) and search_jobs (search) by focusing on the application action.

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

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

The description implicitly indicates when to use (when wanting to apply for a job) but does not explicitly provide guidance on when to use this tool versus alternatives, nor does it state conditions or prerequisites (e.g., logged-in session). The context is implied from the action, but no direct usage guidelines are given.

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