action_relaxuu0026v

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

With no annotations, the description must disclose behavioral traits. It lists operations but fails to mention side effects (e.g., whether actions are destructive), prerequisites (e.g., image must exist), or constraints (e.g., action values come from callback). Vague 'other operations' adds uncertainty.

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?

Short description but the opening line is redundant. The bullet-like list is somewhat structured, but not optimally concise. Every sentence earns its place, though the first could be refined.

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 complexity (mutating actions, reliance on callback values), the description lacks workflow context: it doesn't explain that 'action' must come from a prior callback response, nor that 'image_id' refers to a previously generated image. Output schema is absent, so description should cover return behavior, but it does not.

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 covers all parameters with descriptions (100% coverage). The description adds no extra meaning beyond the schema for 'action', 'image_id', or 'hook_url'. Baseline 3 is appropriate.

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 states it performs relax actions like upsample, variation, zoom, pan on images from the first step, but the opening 'Do the relax action' is vague and tautological. It differentiates from sibling 'action_fast' by mentioning relax, but not explicitly.

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 'action_fast' or 'generate_relax'. Does not specify that it is for post-generation actions on relax-generated images, leaving the agent unclear about workflow context.

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