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

The description goes well beyond the annotations by clarifying that the tool replaces the whole multi-dimension analysis, preserves overallAnalysis, and that omitting dimensions clears it. It also surfaces subtle behavioral details such as formula code wrapping requirements, bare-code rejection, and the fact that formula/fieldCodes are ignored in the opposite scene. No annotation contradiction is present.

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 compact and front-loaded: it states the operation in its first sentence, then adds the most important scene distinctions and exclusions. Each sentence earns its place, and there is no padding or redundant restatement of the tool name.

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?

Given the complexity of the tool, the description is complete enough: it covers both scene types, the destructive-ish replacement/clearing behavior, the recommended preliminary get_form call, and the unsupported form type. The output schema exists, so explaining the return value is unnecessary.

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?

The input schema already documents all parameters well, so the baseline is 3. The description adds value beyond the schema by explaining the scene-based dependency between fieldCodes and formula, recommending get_form as the source of question codes, and clearly stating the clear-by-empty-array behavior, plus the form-type exclusion.

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 uses a specific verb and resource: set the multi-dimension analysis of a form, replacing it as a whole. It clearly distinguishes this from a general update by noting that overallAnalysis is left untouched, and it goes on to state the form-type limitations.

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 gives strong usage guidance: it explains the knowledge_quiz vs scored_quiz field requirements, instructs the caller to call get_form first to read question codes, tells the user to pass an empty dimensions array to clear, and excludes random_knowledge_quiz forms. It does not explicitly name an alternative tool for the unsupported form type, which keeps it from a 5.

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