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Metrx MCP Server

by metrxbots

Generate ROI Audit Report

metrx_generate_roi_audit
Read-onlyIdempotent

Generate comprehensive ROI audit reports for your AI agent fleet, including per-agent cost/revenue, attribution confidence, optimization opportunities, and risk flags. Ideal for board reporting and compliance.

Instructions

Generate a comprehensive ROI audit report for your AI agent fleet. Includes per-agent cost/revenue breakdown, attribution confidence scores, optimization opportunities, and risk flags. Suitable for board reporting and compliance. Do NOT use for quick per-agent ROI checks — use get_task_roi for individual agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
period_daysNoAnalysis period in days (7-365)
include_methodologyNoInclude methodology notes and caveats for auditors
agent_idsNoSpecific agent IDs to include. Omit for full fleet audit.
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint. Description adds that the tool generates a report but does not detail behavioral aspects like aggregation time or data source implications. Adequate but no extra value beyond annotations.

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

Conciseness5/5

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

Two sentences, first provides purpose and content, second gives usage guidance. No redundant information, front-loaded with key details.

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

Completeness4/5

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

Covers report contents and suitability. No output schema, but description adequately explains what is generated. Parameter documentation is complete. Slight gap in not mentioning potential performance or scale considerations.

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

Parameters3/5

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

Schema description coverage is 100% and parameter descriptions are clear. Description does not add additional meaning beyond the schema, so baseline score of 3 applies.

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?

Description states specific verb 'Generate' and resource 'ROI audit report'. Lists included components (cost/revenue, confidence scores, etc.) and explicitly distinguishes from sibling 'get_task_roi' by noting when not to use.

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

Usage Guidelines5/5

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

Explicitly states suitable use cases (board reporting, compliance) and contrast with 'get_task_roi' for quick per-agent checks, providing clear when-to and when-not-to guidance.

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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