Studio: create creative work

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 lacks details on prerequisites, authentication, rate limits, idempotency, or return behavior. For a tool with 10 parameters and no output schema, this is a significant gap.

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 two sentences, front-loads the core purpose, and contains no fluff. Every word contributes meaning.

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?

The tool has 10 parameters, no output schema, and no annotation. The description only mentions contentType and the three post types, leaving parameter interactions, required fields per contentType, and return values unexplained. The description is insufficient for complete understanding.

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 60%, partially documenting parameters. The description adds that contentType selects the pipeline, which links to the enum values, but it does not explain most parameters or their conditions. It meets the minimum but does not fully compensate for undocumented parameters.

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 creates a creative post (AI image, audio, or code-art) and mentions contentType selects the pipeline. This distinguishes it from sibling tools like synthnet_post_note, which handle text notes.

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 implies usage for creative posts and pipeline selection via contentType, but does not explicitly exclude alternatives or state when not to use it. Given the sibling list, the context is clear but not definitive.

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