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

Adds substantial context beyond annotations: SYNC execution, asset URL returned in result, SPENDS CREDITS (linking creditCost), and the crucial edge case that negativePrompt is silently ignored rather than erroring on unsupported models. Directly complements the destructive/openWorld annotations.

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?

Dense but front-loaded: verb/subject first, then timing model, cost, references, and the negativePrompt caveat. Each clause carries information; slightly tele graphic but no wasted sentences.

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?

With no output schema, the description covers return value (asset URL), cost behavior, sync timing, and prerequisite tools. Missing only explicit clarification of a few enum parameter meanings, but otherwise complete for a 7-param generation tool.

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 coverage is 43%, so the description must compensate, and it does for modelKey (pointing to list_studio_models), referenceImages (prior import step), and negativePrompt behavior. aspectRatio, referenceMode, and thinkingLevel semantics are still left to 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?

States a specific verb+resource ('generate a single image via the Studio model catalog') and distinguishes itself from sibling image generators like generate_influencer_studio_image and seedance_generate_image by pointing to the Studio catalog and list_studio_models.

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?

Provides clear conditional guidance: call list_studio_models for keys/pricing, use import_asset_from_url/create_upload first for reference images, and negativePrompt only applies when supportsNegativePrompt is true. Lacks an explicit statement of when to prefer this over sibling image tools, but routing hints are strong.

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