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

With no annotations, the description carries the full burden and does disclose the key behavioral trait: a two-step payment gate where the first call returns payment information, plus an alternative authorization path via license_key. It does not cover idempotency, generation duration, or whether existing documents are overwritten.

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 purpose sentence is front-loaded, and the arg-by-arg notes are compact and each earns its place by documenting otherwise-undocumented parameters. The Python-docstring formatting is slightly unusual for a tool description but not wasteful.

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?

An output schema exists, so return-value explanation is not required. Combined with the payment/authorization flow and per-parameter notes, an agent has enough to invoke correctly; the main residual gap is that the specific Q1–Q10 module semantics remain undefined.

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 must compensate and largely does: each of the 5 parameters is given meaning, including the module enum-like guidance (Q1–Q10 or ALL) that the schema itself lacks (0 enums). It does not enumerate the Q1–Q10 codes individually.

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 states a specific verb (generate) and resource (a full six-phase quality document set), naming concrete artifacts (QFD, DFMEA, control plan). It is clearly distinct in domain from siblings like cost_improvement or tbp_problem_solving, though it never explicitly contrasts itself with them.

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 gives concrete conditional usage: leave payment_proof empty on first call to receive payment info, then retry with the proof, or supply a license_key as an alternative ("填其一"). The module parameter usage (Q1–Q10 vs ALL) is also explained. No sibling-tool routing guidance is provided.

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