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 states the tool 'Records' a decision, implying a write operation, but doesn't clarify if this is a one-time action, reversible, or requires specific permissions. The mention of a 'snapshot of current active user metrics' hints at data capture, but lacks details on what metrics are included or how they're stored. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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: 'Record a business decision with a snapshot of current active user metrics.' It avoids unnecessary words and gets straight to the point, making it easy for an agent to parse quickly. Every part of the sentence contributes to understanding the tool's function.

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 (a mutation operation with 4 parameters) and the absence of annotations and output schema, the description is minimally adequate. It explains what the tool does but lacks details on behavioral aspects like side effects, return values, or error handling. The high schema coverage helps, but for a tool that records decisions with metrics, more context on the 'snapshot' mechanism would improve completeness.

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?

Schema description coverage is 100%, so the input schema already documents all parameters (decision, rationale, expectedOutcome, category) with clear descriptions. The tool description doesn't add any additional meaning or context beyond what's in the schema, such as examples or formatting guidelines. According to the rules, when schema coverage is high (>80%), the baseline score is 3 even without parameter info in the description.

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: 'Record a business decision with a snapshot of current active user metrics.' It specifies the verb ('Record') and resource ('business decision'), and the mention of 'snapshot of current active user metrics' adds useful context. However, it doesn't explicitly differentiate from sibling tools like 'archive_customer' or 'create_usage_record', which also involve recording data but for different purposes.

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, timing, or comparisons to sibling tools like 'create_usage_record' or 'archive_customer', which might be used in similar decision-making contexts. Without such context, the agent must infer usage based on the tool name and description alone.

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