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

Annotations already declare this is a non-read-only, non-idempotent, open-world write, so the safety profile is covered. The description adds value beyond them by disclosing the consumption of a daily quota, the ATS-support restriction, and the crucial fact that submission is deferred until an auto_apply_review step. It does not say what happens if the allowance is exhausted or how partial state is handled on failure (relevant given idempotentHint=false).

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?

Front-loaded with the action, then three short sentences each carrying distinct, useful information (quota cost, eligibility restriction, progress tracking). No filler, though the phrasing around the review step is slightly dense.

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?

For a one-parameter mutation with no output schema, the description covers the whole lifecycle: what is started, what the system does on the user's behalf, that it pauses for review, what it costs, and which sibling reports progress. Nothing an agent needs in order to call it correctly is missing.

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?

There is a single parameter and the input schema already documents it fully at 100% coverage, including where the slug comes from (search_jobs, my_jobs). The description adds no further information about the slug format or validation, so the schema does the work and baseline 3 applies.

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 opens with a specific verb and resource ('Start applying to a vacancy automatically') and immediately distinguishes the operation from a plain apply by describing the automated pipeline (CV tailoring, form checking, review gate). The phrase 'on the person's behalf' and the named review step leave no ambiguity about what this call initiates.

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?

It gives real preconditions: the vacancy must be on a supported applicant-tracking system, and starting costs one of today's auto-apply allowance. It also routes the agent to siblings ('waits for a review (auto_apply_review)' and 'Follow progress with auto_apply_get'). It stops short of explicitly contrasting with apply_job for manual applications, so it is not a full when/when-not/alternative statement.

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