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

With no annotations, the description carries full burden, but it does add real behavioral context: 'Free local ... no upstream request' tells the agent this is a zero-cost, offline metadata call. It still omits error behavior for disabled/unknown tools and the shape of the returned schema/price.

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?

A single compact sentence with the key constraints (free, local, no upstream request) front-loaded. No waste, though it could more explicitly name the required argument.

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 simple one-parameter lookup with no output schema, the description conveys the gist but leaves return format and disabled-tool behavior unstated, so an agent cannot fully predict the response.

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 coverage is 0% and there is a single undocumented tool_name parameter. The description compensates only partially by implying the argument is the name of an enabled data tool, without giving format or naming rules.

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 verb (lookup) and resource (schema and price) for an enabled data tool, distinguishing this meta-tool from the sibling cn_data_v3_* data-fetch tools. It is clear what the tool returns, though the 'get_..._schema' name and 'price lookup' phrasing are slightly at odds.

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 phrase 'for an enabled data tool' implies it should be used to inspect a tool before calling it, but there is no explicit when/when-not guidance or named alternative. Usage is left to inference.

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