WAzion MCP Server

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 includes the '[mutation]' tag which indicates state change potential, and explains the automatic configuration fallback. However, it omits critical details such as the HTTP method used, the structure of the test payload sent, retry behavior, or what constitutes success/failure for the test.

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?

The description is efficiently structured with zero waste: a clear purpose statement ('Envia un webhook de prueba'), conditional behavior explanation, and the mutation classification. Every fragment earns its place in the single sentence of actual description text.

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?

Given the tool's simplicity (2 optional string parameters, no output schema), the description covers essential operational context (mutation nature, fallback configuration). However, for a testing tool with no annotations, it should ideally describe what test data is transmitted or what response indicates a successful webhook delivery to be fully 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?

The input schema has 100% description coverage, documenting both optional parameters and their fallback behavior. The description reinforces this by framing the parameters as optional with store-configured defaults, but does not add semantic meaning beyond what the schema already provides, warranting the baseline score.

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?

The description clearly states the tool 'Envia un webhook de prueba' (sends a test webhook), providing a specific verb and resource. While it distinguishes implicitly from siblings like 'configure_webhooks' by focusing on testing rather than configuration, it does not explicitly contrast with other testing tools or clarify what makes this a 'test' versus a real webhook.

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?

The description provides implicit usage guidance by explaining the fallback behavior ('Usa automaticamente la URL y secret configurados... si no se proporcionan parametros'), which helps the agent understand when parameters are required versus optional. However, it lacks explicit when-to-use guidance, such as recommending this tool for validating webhook integrations before production deployment.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.