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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses that the analysis is powered by Deepseek in China, that it is an advisory review rather than legal advice, and that it returns a Markdown summary per detectable framework. It also mentions the free quota, which is useful operational context. It does not fully describe data-handling implications beyond the processor disclosure, but it is substantially transparent.

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 description is longer than average, but most sentences carry useful context: output format, quota, manual alternative, processor disclosure, and legal disclaimer. The main purpose is front-loaded. Some content (legal subprocessor link) could arguably live elsewhere, but for a compliance tool it is relevant and appropriately placed.

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?

There is no output schema, yet the description explains exactly what the agent should expect: a Markdown summary with control, status, detail, and recommendation for each detectable framework. It also covers scope limits (only detectable elements), quota, manual fallback, third-party processing, and advisory nature. This is complete enough for a tool of this complexity.

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 for the parameters is 100%, so the schema already documents 'code' and 'lng' clearly. The description does not add further meaning about the language enum or code format; it only mentions 'FlowZap Code' in passing. This meets the baseline but does not elevate it.

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 starts with a specific action ('Run an automated compliance review'), names the exact frameworks (SOC2, GDPR, PIPL, EU AI Act), and identifies the resource being reviewed (a FlowZap Code data flow). It also states the return format, making it easy to distinguish from siblings like flowzap_validate or flowzap_fix, which serve different purposes.

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 description makes clear that this tool is for automated architectural compliance reviews of FlowZap Code. It also provides an explicit alternative for a different situation: if users need unlimited manual reviews, they should use the linked web checker. It does not explicitly exclude use when other sibling tools (e.g., flowzap_validate) would be more appropriate, but the usage context is reasonably clear.

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