List add-ons
lago_list_add_onsList add-ons, paginated. Lago API: GET /add_ons.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for pagination. | |
| per_page | No | Number of records per page. |
lago_list_add_onsList add-ons, paginated. Lago API: GET /add_ons.
| 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 declare readOnlyHint=true, so the description's additional mention of pagination adds some behavioral context. However, it lacks details on result format or other behaviors, so score is adequate but not high.
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?
Extremely concise: one sentence with zero wasted words. Front-loaded with the main purpose.
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?
Tool is simple with two optional params and no output schema. Description mentions pagination but omits what the tool returns (array of add-on objects). With good annotations, it's minimally adequate but could be more complete.
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 covers both parameters with clear descriptions. Description repeats 'paginated' but does not add deeper semantics beyond what schema already provides. Baseline 3 is appropriate due to 100% schema coverage.
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?
Description clearly states the verb 'List' and the resource 'add-ons', which distinguishes it from sibling list tools for other resources. It also mentions pagination, adding specificity.
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 on when to use this tool versus other list tools (e.g., lago_list_plans, lago_list_invoices). No context on 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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