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hotmart_churn_analyzer_app

Identify and analyze cancelation trends over time with line charts and data tables. Monitor weekly cancelations and calculate cancelation rates.

Instructions

Análise de churn — cancelamentos por período + tendência.

LineChart cancelamentos no tempo + DataTable de recentes. Use pra 'análise de churn', 'cancelamentos da semana', 'taxa de cancelamento'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idNoOptional product_id filter.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns a line chart and data table of recent cancellations, which is helpful. However, it does not detail any behavioral traits such as data limits, default time periods, or authentication requirements, leaving some gaps for an agent.

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?

The description is extremely concise: two sentences followed by usage examples. It is front-loaded with the core purpose and immediately actionable. No extraneous information, every sentence adds value.

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?

Given the low complexity (single optional parameter, no output schema), the description provides enough context: purpose, output format (line chart + data table), and example uses. It might benefit from specifying default behavior (e.g., time range), but it is sufficient for a tool of this simplicity.

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 input schema has 100% coverage with a clear description for the only parameter ('Optional product_id filter.'). The tool description does not add further parameter meaning, so it meets the baseline of 3 as the schema already suffices.

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: 'Análise de churn — cancelamentos por período + tendência' (churn analysis — cancellations by period + trend). It explicitly mentions the output (LineChart and DataTable) and distinguishes it from sibling tools by focusing on churn analysis, which is not covered by other tools like sales dashboards or subscription lists.

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

Usage Guidelines4/5

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

The description provides clear usage context by listing example queries: 'Use pra 'análise de churn', 'cancelamentos da semana', 'taxa de cancelamento''. This tells the user when to invoke the tool. However, it lacks explicit instructions on when not to use it or alternative tools for different scenarios, which would have made it a 5.

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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