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paywall__customer_allowance_workflow

Returns the customer's available workflow allowance. @param customer_id: The customer's database id @return: a json object, containing the customer id 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

B3.3/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. It does signal a non-destructive read by using 'Returns' and sketches the return shape, but omits permissions, error behavior, and any explanation of what a 'workflow allowance' actually represents or its units.

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

Conciseness4/5

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

The definition is short and front-loads the core purpose in the first sentence, with JSDoc-style tags kept tight. The @return line's reference to a 'values' object is slightly cryptic but does not bloat the text.

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?

With no output schema and no annotations, the description is the only source of behavioral information. It covers the input parameter adequately but only vaguely characterizes the return ('a json object containing the customer id in the values object') and never defines the allowance being fetched, leaving a meaningful gap.

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

Parameters4/5

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 add meaning: the lone parameter is documented as 'the customer's database id', clarifying it is an internal integer id rather than an external key. That is genuine value beyond the bare 'integer' type in the schema, though no format or constraint detail is given.

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

Purpose4/5

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

States a specific verb ('Returns') and resource ('customer's available workflow allowance'), so the operation is identifiable. However, it does not differentiate itself from siblings like paywall__customer_subscription_status or paywall__customer_get_credit_balance, and 'workflow allowance' is domain jargon left undefined.

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 mention of prerequisites, and no named alternative. The agent is left to infer that this is a read-only lookup distinct from the various balance/status siblings, which is exactly the ambiguity the description should resolve.

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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