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carbon_electricity_emissions

Calculate carbon emissions from electricity usage by providing consumption value, unit, and country.

Instructions

Estimate carbon emissions for electricity consumption.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
electricity_valueYes
electricity_unitNo
countryYes
api_keyNo
Behavior1/5

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

With no annotations present, the description carries the full burden of disclosing behavioral traits. It fails to mention that an API key may be required, the nature of the output, or any side effects. The description is too terse to provide meaningful transparency.

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

Conciseness4/5

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

The description is extremely concise—a single sentence with no unnecessary words. However, it sacrifices completeness for brevity. While front-loaded and clear, it could be slightly expanded without losing conciseness.

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

Completeness1/5

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

Given 4 parameters, no enumerated values, and no output schema, the description is severely lacking. It does not explain required vs optional parameters, acceptable units, or the format of the returned estimation. The tool is underspecified for an agent to use correctly.

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

Parameters1/5

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

The schema description coverage is 0%, yet the description adds no information about the parameters. It does not explain what electricity_value represents, what units are expected, or the significance of the country parameter. The agent must rely solely on parameter names, which is insufficient.

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 tool's purpose: 'Estimate carbon emissions for electricity consumption.' It includes a specific verb ('estimate') and resource ('electricity consumption'), effectively distinguishing it from sibling tools like carbon_flight_emissions and carbon_vehicle_emissions.

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

Usage Guidelines2/5

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, such as flight or vehicle emissions calculators. There is no mention of prerequisites (e.g., the need for a country parameter) or context for typical use cases.

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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