lemon-squeezy-mcp

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes the tool's function but lacks details on permissions, rate limits, output format, or side effects. For a tool that likely involves data analysis, this omission is significant, as the agent cannot anticipate behavioral traits beyond the basic operation.

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

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

The description is a single, efficient sentence that front-loads the core purpose without unnecessary details. Every word contributes to understanding the tool's function, making it highly concise and well-structured for quick comprehension.

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

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

Given the tool's complexity (analysis-based with no output schema) and lack of annotations, the description is minimally adequate. It explains what the tool does but doesn't cover output format, error handling, or integration with sibling tools. This leaves gaps in contextual understanding, though it meets the basic requirement for a no-parameter tool.

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

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

The input schema has 0 parameters with 100% description coverage, so no parameter documentation is needed. The description doesn't add parameter semantics, but this is acceptable given the schema's completeness. A baseline of 4 is appropriate as the tool requires no inputs, and the description adequately explains the operation without redundancy.

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

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

The description clearly states the tool's purpose: 'Identify users with active subscriptions who haven't logged in recently (>28 days).' It specifies the verb 'identify' and the target resource 'users with active subscriptions,' with a clear criterion for identification. However, it doesn't explicitly distinguish this from sibling tools like 'predict_churn_risk,' which might have overlapping or related functionality, preventing a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, exclusions, or comparisons to sibling tools such as 'predict_churn_risk' or 'list_customers,' leaving the agent to infer usage context. This lack of explicit direction reduces its effectiveness in tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.