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

Adds far beyond the annotations: login requirement, preview mode that does not persist, mandatory user confirmation before execution, silent ignoring of invalid IDs with diff fields, empty-string rejection on reviewNote, 200-id cap, and the guarantee that only application results are changed and delivery status is untouched. None of this contradicts the 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?

Dense but structured with clear sections (需要登录, 何时用, 组合链, 口径/坑). It is front-loaded with the trigger condition and the single most important fact (login). Every sentence carries operational value, including the note about why preview exists and the diff return.

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?

Covers preconditions, workflow, return diff fields, limits, and what the tool does not touch. No output schema exists, so the description does well to explain requested/updated/ignoredIds. However, it doesn't describe the full response shape or error behavior, which would be useful for a complex mutation tool.

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 coverage is 100%, so the schema already documents all parameters. The description adds meaningful behavior for preview (no write, returns candidate list for confirmation), reviewNote (empty string rejected, omitted = no change), and reinforces the 200-id limit. This extra context is valuable but the schema does the baseline 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 (bulk update reviewStatus), resource (signup submissions), and scope (batch operations like 'make all AI ones shortlisted, rest waiting'). It clearly differentiates from the 200-checkbox web UI and implies the batch nature. No ambiguity about what the tool does.

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?

Explicitly says when to call it: when the user voices a batch operation such as '把做 AI 的都入围、其余候补'. It also provides a composition chain with list_signup_submissions and preview=true/false. It doesn't explicitly name the single-submission alternative (review_signup_submission) or say 'use that for one-off changes', so exactly when-not is implied rather than stated.

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