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

The description discloses the two-step process (parse then validate) and the schema version (Draft 7). However, it does not describe the output format (e.g., errors vs success), failure behavior, or any limitations beyond Draft 7. With no annotations, this is minimal.

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?

A single sentence that is concise and front-loaded with the core purpose. No wasted words; every word adds value.

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 two-step complexity, no output schema, and lack of parameter descriptions, the description is incomplete. It fails to specify return value (e.g., validation result), how max_errors affects output, or the relationship between parsing and validation steps.

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 provides parameter names only (0% description coverage). The description does not explain what each parameter expects (e.g., 'yaml' as YAML string, 'schema' as JSON Schema string) or the role of 'max_errors'. The only added value is noting Draft 7 for the schema.

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 action (Parse YAML then validate) and the resource (YAML against JSON Schema Draft 7). It distinguishes from siblings like yaml_validate (syntax only) and json_schema_validate (JSON input) by combining both steps.

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 implies usage context (when you have YAML and need JSON Schema validation) but does not explicitly state when not to use it or mention alternatives. It lacks guidance on which sibling tool to choose for different use cases.

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