energy_carbon_hb

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, so the description adds only the source URL and return type. It does not disclose additional behavioral traits such as rate limits, network requirements, or data update frequency beyond what annotations imply.

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 short and includes the essential URL and return type, but its first line is a verbatim repeat of the annotation title, which is redundant. Despite that, it is concise and front-loaded with the tool's identity.

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?

With no output schema, the description does explain the return type and high-level content (daily overview of quota spot data). However, it lacks specifics such as column names, date range, or data granularity, which would be useful for an agent to interpret the result fully.

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 tool has zero parameters, and the input schema is empty, so the schema already fully covers this aspect. The description does not mention parameters, but with no parameters to document, the baseline score of 4 is appropriate.

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 clearly states it returns spot trading data for Hubei Carbon Emissions Trading Center (quotas, daily overview) as a pandas DataFrame, and provides a source URL. It distinguishes itself from regional siblings by specifying '湖北' (Hubei), though it lacks an explicit action verb like 'fetch' or 'retrieve'.

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?

There is no explicit guidance on when to use this tool versus alternatives like energy_carbon_bj, energy_carbon_gz, or energy_carbon_sz. The description only describes what the tool outputs, not the selection context or any prerequisites.

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