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paywall__customer_validate_subscription

Returns the current state of a customer's subscription. @param customer_id: The customer's database id @return: a json object, with the current state of a customer's subscription, in the "values" object

Input Schema

NameRequiredDescriptionDefault
customer_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "type": "object"
      -}New value: +null
  2. Added

TDQS

C2.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are empty, so the description carries full behavioral burden. It partially describes the return shape ('values' object) but says nothing about authentication needs, whether 'validate' performs any side effect or check, rate limits, or what the state fields contain. This is thin for a zero-annotation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and front-loaded, and the @param tag is useful, but the @return tag largely restates the opening sentence, adding redundancy rather than information. No structural problems, just no strong economy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read tool with no annotations or output schema, the description is minimally sufficient — it names the param and gestures at the return shape. It falls short on disambiguating from the sibling status tool and on describing what the subscription 'state' actually includes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate — and it does modestly by labeling customer_id as 'the customer's database id', implying an integer identifier. It adds some meaning over the bare schema but no format, constraints, or lookup behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a verb and resource ('Returns the current state of a customer's subscription'), which is understandable. However, it conflicts with the tool name's implied validation semantics ('validate_subscription' suggests a check/verdict, not a plain state read) and fails to distinguish itself from the near-identical sibling paywall__customer_subscription_status. An agent cannot tell these two apart from the text.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no alternatives named despite a glaringly overlapping sibling (customer_subscription_status). The agent is left to infer selection entirely on its own.

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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