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GoAI Moat AI Visibility Audit

Check License

check_license

Check whether a Gumroad license key is valid for unlimited audits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
license_keyYesThe license key received after purchase.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It communicates that this is a validation/check operation rather than a mutation, which is useful, but it does not state whether the check calls the Gumroad API, whether network access is needed, or what happens with invalid/expired keys. The output schema likely covers return details, so the remaining gap is moderate.

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

Conciseness5/5

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

The description is a single, front-loaded sentence that states the exact purpose without filler. Every word contributes to understanding what the tool validates and under what condition.

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

Completeness4/5

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

For a single-parameter validation tool with an output schema, the description is largely sufficient: an agent can infer the invocation intent and the expected domain. It loses one point because it does not explicitly orient the agent toward when this check should be performed relative to the sibling audit tools.

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?

The schema describes 'license_key' as 'The license key received after purchase,' and the description adds that it is a Gumroad key and ties it to unlimited-audit validity. Since schema coverage is 100%, the description need not add much, but it provides only minor extra context about the parameter's role.

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

Purpose5/5

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

The description uses a specific verb ('Check') with a specific resource ('Gumroad license key') and a concrete validity condition ('valid for unlimited audits'). This clearly distinguishes it from the sibling tools, which address auditing, checklists, and fix prioritization rather than licensing.

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

Usage Guidelines3/5

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

The wording implies the tool is for verifying a license before using audit-related capabilities, but it does not explicitly state when to use it versus alternatives or mention any prerequisites such as requiring a prior purchase. Its role is inferable from the domain, but the guidance is not explicit.

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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