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carbon_electricity_emissions

Estimate carbon emissions from electricity consumption by providing usage amount, unit, and country. Returns emissions data for environmental impact assessment.

Instructions

Estimate carbon emissions for electricity consumption.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
electricity_valueYes
electricity_unitNo
countryYes
api_keyNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only mentions 'estimate' without disclosing data sources, accuracy, or the need for an API key (present in schema). Behavioral traits like idempotency or country coverage are not addressed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted words, but it is too brief given the lack of schema descriptions. It does not fully earn its place by providing enough information for correct usage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, no annotations, and no parameter descriptions, the description is incomplete. It fails to explain return values, required inputs like API key, or units, which are essential for a tool with four parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the description adds no parameter explanations. Critical details like units for electricity_value or country format are missing, leaving the agent to infer from parameter names alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'estimate' and the resource 'carbon emissions for electricity consumption'. It distinguishes from sibling tools like carbon_flight_emissions and carbon_vehicle_emissions, which target different energy sources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for electricity consumption but provides no explicit guidance on when to use this tool versus other carbon estimation tools or alternatives. No scenarios or exclusions are mentioned.

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

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