compose_input_json

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal information. It states the tool generates a file but doesn't describe what happens if the file already exists, whether this is a read or write operation, what permissions are needed, or what the output looks like. For a file generation tool with zero annotation coverage, this is insufficient behavioral context.

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 extremely concise at just 8 Chinese characters, with no wasted words. It's front-loaded with the core purpose and contains no unnecessary elaboration. While it may be too brief for complete understanding, it earns full marks for conciseness.

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 input schema (nested object with 4 required parameters), no annotations, and the presence of an output schema, the description is inadequate. It doesn't explain the relationship between template JSON and generated output, the sample count validation mentioned in the schema, or how this tool fits into the broader workflow context with sibling tools. The output schema helps but doesn't compensate for the minimal description.

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 description mentions '用户给的数值' (user-provided values) which loosely corresponds to the 'params' parameter in the schema, but provides no specifics about parameter structure or usage. With 0% schema description coverage, the description doesn't adequately compensate by explaining the complex nested 'cfg' parameter containing template paths, output paths, sample counts, and parameter data. The baseline is 3 since schema coverage is low but the description adds minimal value.

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 '根据用户给的数值生成input.json' clearly states the tool's purpose: generating an input.json file from user-provided values. It specifies both the action (生成/generate) and the resource (input.json). However, it doesn't differentiate from sibling tools like 'generate_inputs_json_template_bioos' or explain how this differs from other JSON generation tools in the server.

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 provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, when this tool is appropriate, or when to choose sibling tools like 'generate_inputs_json_template_bioos' or 'validate_workflow_input_json'. The agent must infer usage from the tool name and schema alone.

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