get_uk_carbon_intensity

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

No annotations are provided, so the description must convey behavior. It explains the return values (intensity, index, mix breakdown) and implies a read-only operation. It lacks details on data freshness or update frequency but is adequate for a data retrieval tool.

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 concise with clear Args and Returns sections. Every sentence provides valuable information without unnecessary verbosity.

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 tool's simplicity and lack of output schema, the description adequately explains return values. It is complete for an AI agent to understand input, output, and side effects.

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 input schema has one parameter (region) with 0% description coverage. The description explains the parameter's purpose, optionality, and provides example values, adding significant meaning beyond the schema.

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 provides current CO2 intensity of the UK power grid with units (gCO2/kWh). It distinguishes from siblings by specifying UK focus and optional regional filtering, making it unambiguous.

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 indicates that leaving the region field empty gives national overview, guiding usage. However, it does not explicitly state when to use this tool versus alternatives like get_uk_power_mix or get_global_carbon_intensity.

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