paywall__customer_payment_history
Returns the customer's payment history @param customer_id: The customer's database id @return: a json object, in the "values" object
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| customer_id | Yes |
Returns the customer's payment history @param customer_id: The customer's database id @return: a json object, in the "values" object
| Name | Required | Description | Default |
|---|---|---|---|
| customer_id | Yes |
Changes observed during successful MCP inspections.
Output schema / (root)Previous value: -{
- "type": "object"
-}New value: +nullDoes the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden. It adds one useful detail (the payload lives in a 'values' object), but says nothing about pagination, date range, ordering, permissions, or whether the customer must exist—significant gaps for a history/read tool with zero annotation coverage.
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?
Very short and front-loaded: the purpose is the first clause before the JSDoc-style @param/@return lines. The JSDoc artifacts are slightly awkward but compact and carry real information about the input and return shape.
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?
With no annotations and no output schema, the description is the only source of behavioral context, and it is thin. It gestures at the return shape but omits result volume, pagination, ordering, and access requirements—not enough for an agent to call this confidently in a large paywall sibling set.
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 0%, so the description must compensate. It does add some meaning by clarifying that customer_id is 'the customer's database id' (an internal id, not an external reference), but it provides no format, range, or lookup guidance. Partial compensation for an undocumented parameter.
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 ('Returns the customer's payment history'), which is clear and unambiguous. However, it does not distinguish itself from close siblings like paywall__customer_get_invoices or paywall__customer_get_credit_balance, so the agent cannot tell from the description alone why it would choose this over those.
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 exclusions. The description only says what it returns, leaving the agent to infer context from the name and sibling set.
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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