generate_variation

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

No annotations are provided, so the description carries full burden. 'Create pattern variations' suggests a mutation operation, but it doesn't disclose behavioral traits such as whether it modifies an existing pattern in memory, requires a pattern to be loaded, affects playback, or has side effects like saving changes. This leaves critical gaps for an agent.

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 phrase with zero wasted words. It is front-loaded and appropriately sized for the tool's apparent complexity, making it easy 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 no annotations, no output schema, and a single parameter with good schema coverage, the description is incomplete. It fails to explain what a 'pattern' is in this context, what the tool returns, or how it interacts with other tools (e.g., 'get_pattern', 'save'), leaving the agent with significant uncertainty about usage and outcomes.

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%, with the parameter 'type' documented as 'Variation type (subtle/moderate/extreme/glitch/evolving)'. The description adds no additional meaning beyond this, as it doesn't explain what these types do or how they affect the pattern. Baseline is 3 since the schema provides adequate 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 'Create pattern variations' states a general purpose but lacks specificity about what kind of patterns (musical, visual, etc.) and what 'variations' entail. It distinguishes somewhat from siblings like 'generate_pattern' (creates new) vs 'generate_variation' (modifies existing), but the distinction is not explicit.

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?

No guidance on when to use this tool versus alternatives like 'ai_suggest_variations' or 'generate_pattern'. The description implies it's for modifying existing patterns, but this is not stated, and there are no exclusions or prerequisites mentioned.

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