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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive) and the description is consistent with them. Beyond that, it discloses genuinely useful behavior an agent could not infer: the submit step is executed client-side by a desktop helper or the user's agent with the user's own logins, and LinkedIn Easy Apply, CAPTCHA solving, and attestation checkboxes are never automated. It stops short of explaining what 'ordered' means or how the queue is populated.

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 behavioral and compliance sentences are tight and earn their place, but the trailing embedded pricing JSON object is bulky, machine-formatted noise in a natural-language description and duplicates a dedicated careerpro_pricing sibling. Front-loading is partial: the description opens with a noun phrase rather than a clear action statement.

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?

With no output schema, the description should characterize what a queue entry contains (pack shape, ordering key, whether answers are embedded), and it does not. Annotations and the single-parameter schema are simple, and the client-side execution disclosure is a real addition, but the return-value gap leaves the agent guessing about the payload.

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?

The schema has a single optional parameter with 100% description coverage, so the baseline is 3. The description adds nothing about the limit parameter — no default, no paging semantics, no cap behavior — leaving the schema to carry it entirely.

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 identifies the resource as 'FIT packs with an approved answer bank, ordered, with the per-ATS mode,' which hints at a prepared application queue, but it never uses a verb or states plainly that it returns a list of ready-to-submit packs. Terms like 'FIT packs' and 'per-ATS mode' are product jargon an agent cannot decode from this text, and the distinction from the sibling pack_get/bank_get tools is only implied by 'ordered.'

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?

There is no statement of when to call this versus careerpro_pack_get, careerpro_bank_get, or careerpro_submission_report, and no prerequisite conditions. The only conditional language concerns what is never automated, which is a compliance note rather than selection guidance.

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