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anchetadev

AI Impact MCP

by anchetadev

AI impact report

report

Summarize recorded AI usage and its environmental impact (energy, water, CO₂) over a period, broken down by model.

Instructions

Summarize recorded AI usage and its environmental impact over a period (today, week, month, all), broken down by model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoweek
scenarioNo
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It mentions 'recorded AI usage' suggesting read-only, but does not state whether it modifies data, requires permissions, or has rate limits. Minimal 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?

Single sentence, efficient and front-loaded with the main action. No redundant information, but could benefit from clearer structure.

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?

No output schema; description does not specify return format or content beyond 'breakdown by model'. Given two parameters and no sibling differentiation, the description is insufficient for an agent to fully understand the tool's output.

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?

With 0% schema description coverage, the description adds no meaning beyond the schema for 'period' (already enumerated) and fails to explain the 'scenario' parameter (conservative, midpoint, high) which is critical for understanding impact calculations.

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

Purpose4/5

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

The description clearly states the tool summarizes recorded AI usage and environmental impact broken down by model, which is a specific verb+resource. However, it does not differentiate from siblings like 'estimate_impact' which also deals with impact.

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 on when to use this tool versus alternatives like 'estimate_impact' or 'scan_logs'. The description implies it's for summarizing recorded data, but lacks explicit context for tool selection.

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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