boss_ai_optimize

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

No annotations are provided, so the description carries the full burden. It does disclose the key behavioral trait that the result is returned as a structure and not written back to disk, which is valuable. It does not address permissions, rate limits, or whether the optimization is idempotent, leaving gaps for a no-annotation tool.

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-loads the core action and its non-destructive output in a single efficient sentence. The availability tag is slightly noisy with the duplicated '可用性: 可用性:' text, but overall it is compact and appropriately sized.

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 two-parameter tool with no output schema and no annotations, the description covers the purpose and the non-write behavior, which is the essential context. It stops short of describing the returned structure's shape or how the optimization is scoped, so it is adequate but with clear gaps.

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%, so the schema already documents both parameters (resume name, target job description). The description restates the intent of using a target JD and a resume but adds no syntax, format, or size requirements beyond the schema. Baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb and resource: it optimizes a resume against a target job description. The parenthetical clarifies the output behavior ('outputs optimized structure, does not write to disk'). However, it gives no differentiation from the near-identically named sibling boss_ai_resume_optimize, which an agent would struggle to tell apart.

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 availability tag (roles=candidate; candidate_platforms=zhipin; recruiter_platforms=-) implies this is only for candidate users on the zhipin platform, which is useful routing context. But there is no explicit when-to-use guidance versus alternatives like boss_ai_resume_optimize, boss_ai_suggest, or boss_ai_fit, so usage is only inferred.

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