Schema-validate an airpipe YAML config. Send { "yaml": }. Returns { valid: true } when it passes, or { valid: false, error: } when it fails — feed the error back into your fix and call again until valid. Schema check only; does not save. Use create_config to persist a valid config.
| Name | Required | Description | Default |
|---|---|---|---|
| yaml | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses the return format (valid/error), behavior (schema check only, no save), and suggests an iterative workflow for fixing errors.
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 two sentences, front-loading purpose and providing all necessary info without redundancy. Every sentence earns its place.
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?
For a simple validation tool with one parameter and a clear return format, the description is complete. It explains input, output, and workflow, making it fully actionable.
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 coverage is 0%, but the description adds meaning by specifying the expected format: 'Send { "yaml": <the full YAML string> }'. This goes beyond the schema's minLength constraint.
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's purpose: schema-validate an airpipe YAML config. It uses specific verbs and resource, and distinguishes from sibling create_config by noting it does not save.
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 explicit usage guidance: validate and iterate on errors until valid, and use create_config to persist. It tells when to use the tool and when not to.
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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