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validate_pattern_runtime

Validate a Strudel music pattern by executing it and monitoring the console for runtime errors, catching issues not found by static analysis.

Instructions

Validate pattern with runtime error checking (monitors Strudel console for errors)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternYesPattern code to validate
waitMsNoHow long to wait for errors (default 500ms)
Behavior2/5

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

No annotations are provided, so the description must fully convey behavioral traits. It mentions monitoring the console for errors, implying execution of the pattern, but does not disclose whether the tool modifies state, requires an active session, or has any side effects. This is insufficient for a tool that likely runs code.

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 sentence, front-loaded with verb and resource, and includes a parenthetical that explains the unique feature. Every word adds value, and it is highly concise without omitting critical purpose.

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

Completeness2/5

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

The description lacks information about prerequisites (e.g., does a session need to exist?), return values (e.g., success/failure, error messages?), and how the tool integrates with other tools. Given the complexity of a validation tool and the absence of an output schema, the description is incomplete.

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?

Schema coverage is 100%, so the baseline is 3. The tool description adds the context of monitoring the console, which ties the waitMs parameter to error detection, but the schema descriptions already cover the parameters adequately. No significant extra value beyond the schema.

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 clearly states the verb 'Validate' and the resource 'pattern', adding 'runtime error checking' which distinguishes it from any potential static validation. There are no sibling tools with similar names, so the purpose is unique and specific.

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

Usage Guidelines2/5

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, nor does it mention preconditions or exclusions. The agent has no information about scenarios where this tool is appropriate or inappropriate.

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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