List coupons
lago_list_couponsList coupons, paginated. Lago API: GET /coupons.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for pagination. | |
| per_page | No | Number of records per page. |
lago_list_couponsList coupons, paginated. Lago API: GET /coupons.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for pagination. | |
| per_page | No | Number of records per page. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true, so the description adds value by mentioning pagination behavior and the API endpoint. No contradiction, but lacks additional behavioral context such as rate limits or response contents.
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 extremely concise with only two sentences, front-loading the key action and resource. Every word adds value, and there is no redundant information.
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?
For a simple list tool with two optional parameters and readOnlyHint, the description is minimally adequate. However, without an output schema, more detail about the response structure would improve completeness for an AI agent.
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 coverage is 100%, with both parameters adequately described in the schema. The description does not add parameter-specific meaning beyond what is already provided, so a baseline score of 3 is appropriate.
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 verb 'List' and resource 'coupons', and mentions pagination. It effectively communicates the tool's function, but does not explicitly differentiate from sibling list tools, though the resource name itself does that.
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?
No guidance is provided on when to use this tool versus alternatives, such as when to use other list tools (e.g., lago_list_add_ons) or any prerequisites or limitations.
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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