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.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already establishes this is a safe read. The description adds only that results are paginated, which is modest but useful context beyond the annotation. No return shape, ordering, or filtering behavior is disclosed.
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?
Two short sentences, front-loaded with the core action and zero filler. Every element earns its place.
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 read-only list tool with only two pagination parameters and no output schema, the description covers the essentials. It could note default page size or ordering, but nothing critical is missing.
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%, with both 'page' and 'per_page' fully documented in the schema. The description adds nothing beyond the schema's own pagination detail, so the baseline 3 applies.
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?
States a specific verb and resource ('List coupons') with the underlying endpoint, so the action is unambiguous. It does not explicitly differentiate itself from sibling list tools like lago_list_plans or lago_list_add_ons, though the resource name is distinct enough to infer.
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?
There is no guidance on when to use this tool versus alternatives, no prerequisites, and no mention of filtering or scope. The agent must infer usage purely from the resource name.
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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