generate_content_brief

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions tailoring to a creator's style and targeting a format, but does not explain what happens when based_on_format is null (e.g., whether it automatically fetches trending formats), what the output brief contains, or any side effects. The description lacks transparency about the tool's internal behavior.

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, well-structured sentence that leads with the verb 'Draft' and efficiently packs key details about the creator and format targeting. There is no unnecessary repetition or filler, making it highly concise and front-loaded.

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 is simple with only two parameters, but the description is sparse. It does not describe the expected output (the brief's content or format), what happens if based_on_format is omitted, or any required context such as ensuring the creator exists. Given no output schema or annotations, the description should provide more completeness to be fully useful.

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 0%, so the description must compensate for parameter meaning. It does: 'creator's style' maps to creator_id, and 'given or trending format' explains based_on_format (a provided format or defaulting to trending). This adds meaningful semantics beyond the schema, though it stops short of explicitly describing parameter syntax or edge cases.

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's action ('Draft a brief') and its specific scope ('tailored to a creator's style, targeting a given or trending format'). This distinguishes it from sibling tools like detect_trending_formats (which detects trends) and recommend_creators_for_brief (which recommends creators), making the purpose unambiguous.

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 by stating it drafts a brief for a creator, but it does not explicitly say when to use this tool over alternatives, nor does it mention prerequisites like needing a creator_id or when to leverage trending formats. Usage context is inferred rather than directly guided.

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