estimate_etou_json

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 input→output transformation and its downstream purpose. But it omits key behavioral facts such as whether it overwrites the output file, permission/auth needs, or what the platform-side docking expects, which a mutation-style converter should state.

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?

Compact and front-loaded: the operation, the concrete I/O, and the prerequisite each appear once with no filler. Only minor gain available by specifying parameter expectations, but as written it is efficient.

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 format-conversion tool with nested object inputs and no output schema or annotations, the description names the output artifact and the prerequisite but leaves the input contracts and failure semantics unexplained. It is minimally adequate but not complete for the tool's 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 is 0% and both params are undocumented nested objects. The description only loosely gestures at the input ('估算数据JSON', mapping to estimate) and says nothing about the project_info parameter or the expected shape of either object, so it fails to compensate for the coverage gap.

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?

States a specific transformation (估算数据JSON → construction_data.json) for a clear purpose (平台侧数据对接用), using a specific verb and named artifact. It is not a tautology and an agent can understand the operation, though it does not explicitly contrast itself with siblings like estimate_excel or permitted_cost_excel.

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?

Provides an explicit prerequisite ('需先调 get_protocol_instructions'), which is genuine usage guidance for ordering calls. However, it gives no when-to-use vs when-not, no alternatives, and no indication of when this conversion path is preferred over the sibling tools.

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