energy_carbon_gz

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the agent knows this is a safe read operation. The description adds the source URL and return type, but does not disclose characteristics such as data update frequency, columns included, or potential pagination. With annotations covering safety, the extra context is marginal but not contradictory.

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 with no unnecessary words. The title, URL, and return type lines each serve a purpose. It is front-loaded with the exchange name and clearly communicates the output type.

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 no-parameter tool with no output schema, the description provides the source URL and return type but lacks detail about the actual content structure (e.g., what columns or time range the '行情信息' includes). This is minimally sufficient but leaves gaps in understanding what the returned DataFrame will contain.

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 schema confirms no inputs are required. Per the rubric, a baseline of 4 is appropriate; the description does not need to explain parameter semantics, and no ambiguity exists.

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 identifies the resource (Guangzhou Carbon Emissions Exchange) and the action (returning market/quote data), with the URL providing provenance. It is distinguishable from sibling tools by naming the specific exchange, though the term '行情信息' is somewhat generic and could be more specific about the type of data.

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?

No guidance is provided on when to use this tool versus alternatives like energy_carbon_bj or energy_carbon_sz. The description only states what it does, not in which scenarios it is the appropriate choice.

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