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MARCCHERGGI

indie-metrics-mcp

by MARCCHERGGI

Product Performance

get_product_performance

Analyze revenue by product to identify top and bottom sellers, showing units sold, average price, and revenue share.

Instructions

Analyze revenue by product — shows each product's revenue, units sold, average price, and share of total revenue. Identifies your best and worst sellers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoTime period to analyze30d
Behavior2/5

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

With no annotations, the description should explicitly state behavioral traits like safety (read-only), data freshness, or aggregation scope. It only describes output but not side effects, permissions, or limitations.

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 concise sentences that front-load the core function and list specific outputs. No extraneous words.

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

Completeness3/5

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

For a simple tool with minimal parameters and no output schema, the description covers the return values adequately. However, it lacks completeness on data scope (e.g., all products? historical comparison?) which would be helpful.

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?

The single parameter 'period' is fully described in the schema (enum, default, description). The tool description adds no additional meaning beyond the schema, so baseline score 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?

The description clearly states the tool uses 'Analyze revenue by product' and specifies the metrics (revenue, units sold, average price, share) and outputs (best/worst sellers). It is distinct from siblings which focus on customers, transactions, refunds, etc.

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 explicit guidance on when to use this tool versus siblings like get_revenue_summary or get_recent_transactions. The context is implied but not directed; a user must infer.

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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