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

Annotations only declare idempotentHint=true and destructiveHint=false; the description adds genuinely useful behavior: a mandatory two-phase preview-then-confirm gate, that only a pending-payment order is produced, that the bounty stays non-public until paid, and that the user must complete payment personally in the App. These are consequences an agent cannot infer from the schema. It does not describe the response payload (order id, payment entry point) or what happens to a stale previewHash, which keeps it from a 5.

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?

Every clause carries information, but the text is a semicolon-chained run-on with no headings or ordering cues, and it opens with the prerequisite '登录' rather than the action. The critical fact — that this only creates an unpaid, non-public order — sits in the middle of the block. Density is high but readability and front-loading are weak.

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 9-parameter tool with a nested 10-field draft object, no output schema, and only idempotency/destructiveness annotations, the description supplies the missing operational contract: the mandatory preview step, the confirm parameters, the payment-ownership rule, and the idempotent retry. Gaps remain around return values, the unmentioned images/needId parameters, and how previewHash is obtained, but the core call sequence is complete enough to invoke 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 0%, so the description carries the full burden and does substantial work: it names the source of draft (quote.draft), the quoteToken, originalUnitAmountCents ('用户所选原价（分）'), and the coupled trio preview/previewHash/consent with the exact values expected on the confirming call. It also maps the nested draft fields to human concepts (全文/标准/期限/观察期/人数/五项金额). Two top-level params, images and needId, are never mentioned, and the derivation of previewHash is left implicit.

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 conveys a specific verb+resource: it takes a quote-derived draft and creates a pending-payment bounty order ('仅建待支付单'). It also clarifies an important scope nuance — the tool does NOT publish publicly until payment, which an agent could easily misread from the name 'publish_network_bounty'. However, the purpose is buried after a login prerequisite and a workflow narration rather than stated up front, and it never contrasts itself with siblings like preview_network_bounty_price or quote_network_bounty, which share this same flow.

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?

Usage is spelled out as an ordered sequence: obtain a quote/price preview, pass back quote.draft + token + the user's chosen original price, run with preview=true to verify the full text/criteria/deadline/observation period/headcount/five amounts, then re-call with identical params plus preview=false + previewHash + consent=true. It also gives a hard prohibition ('不能代填最终条件/价格') and a retry rule ('重试同key'). What is missing is explicit routing against alternatives — it does not say when to use preview_network_bounty_price instead, even though this tool itself has a preview mode.

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