content_repurposer

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

No annotations are provided, so the description must disclose behavioral traits, but it only offers a high-level claim ('Transform one piece into 10+ formats'). It does not explain how the transformation works, what the output looks like, whether it is AI-generated, or any limitations or side effects, leaving significant behavioral 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?

The description is a single, well-structured sentence that front-loads the action ('Transform') and immediately conveys the value proposition with a concrete list of output formats. It contains no filler and every word contributes to the message.

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 and no annotations, the description fails to compensate for those gaps. It does not specify the return format, whether all 10+ formats are generated in one call, or how the required parameters (source_content, source_type, key_message) must be used, leaving the tool's behavior incompletely defined.

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%, so the baseline is 3. The description does not add any additional meaning beyond the schema's parameter descriptions; for instance, it does not clarify how 'audience' or 'brand_voice' influence the output formats.

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 core action with a specific verb ('Transform') and resource ('one piece'), and enumerates concrete output formats (LinkedIn, Twitter, email, blog, etc.). This makes it immediately distinguishable from sibling tools like newsletter_builder or webinar_script, which focus on single-format generation.

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 repurposing existing content into multiple formats, providing clear context for when an agent would invoke this tool. However, it does not explicitly mention exclusions or alternative tools, though the general transformation focus makes its context fairly apparent.

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