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

Annotations declare readOnlyHint=false, destructiveHint=true, openWorldHint=true and idempotentHint=false, and the description's 'submits a Builder task' is consistent with a non-read operation that creates state. It does not disclose the async task lifecycle (returned task id, need to poll scraper_task_status / fetch via scraper_task_result), nor auth or rate-limit behavior, which is the main added-context gap. No contradiction with annotations.

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 opening trigger sentence lists near-synonyms redundantly ('Glassdoor 招聘信息、职位信息、job listings、招聘搜索链接'), and the actual purpose only appears in the second sentence. The informative content is there but it is not front-loaded and contains avoidable repetition.

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 6-parameter task-submission tool with no output schema and 100% schema coverage, the description plus schema cover the inputs well, including which mode uses url vs keyword/location. The remaining omission is the post-submission lifecycle (how to retrieve results via the scraper_task_* siblings), which an agent would need to chain the call correctly.

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 100% and every parameter, including the spider_id enum and each mode's required fields, is fully documented in the schema. The description only restates the three mode names already present in the enum, adding no format or dependency detail beyond the schema, so the 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 second sentence gives a concrete verb+resource: it submits a Glassdoor job-listings Builder task and enumerates the three supported spider modes. An agent can distinguish it from generic search siblings, though the first sentence is mostly trigger-keyword padding rather than purpose. Clear but noisy.

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 states trigger conditions (user wants Glassdoor job listings plus verbs like collect/scrape/fetch) and the schema tells the caller to pick the spider_id mode that matches the user's intent. However, it never names alternatives such as google_jobs or linkedin_job_listings_information, nor when NOT to use this tool, so routing among siblings is left to inference.

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