validate_pattern_runtime

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'runtime error checking' and 'monitors Strudel console for errors', which hints at a read-only diagnostic operation, but lacks details on permissions, rate limits, error formats, or what constitutes a validation failure. This is insufficient for a tool with potential runtime implications.

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 a single, efficient sentence that front-loads the core purpose ('Validate pattern with runtime error checking') and adds necessary context ('monitors Strudel console for errors'). There's no wasted verbiage, making it easy for an agent to parse quickly.

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 complexity of runtime validation and lack of annotations or output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., success/failure status, error details), how errors are reported, or any side effects. This leaves significant gaps for an agent to invoke the tool correctly in a Strudel context.

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 description coverage is 100%, so the schema fully documents the two parameters ('pattern' and 'waitMs'). The description adds no additional semantic context beyond implying validation involves error monitoring, which doesn't clarify parameter usage beyond what's in the schema. This meets the baseline for high schema coverage.

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: 'Validate pattern with runtime error checking' specifies the verb (validate) and resource (pattern), with additional context about monitoring the Strudel console for errors. However, it doesn't explicitly differentiate this tool from sibling tools like 'ai_analyze_pattern' or 'analyze', which might have overlapping validation aspects.

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 no guidance on when to use this tool versus alternatives. With many sibling tools related to pattern analysis and generation (e.g., 'ai_analyze_pattern', 'analyze'), there's no indication of specific scenarios, prerequisites, or exclusions for using this validation tool, leaving the agent to guess based on context.

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