create_presentation

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

No annotations are provided, so the description carries the full burden. It reveals that images are auto-generated via ComfyUI, and outlines the expected role of the model. This adds useful behavioral context, though it doesn't address error handling or potential side effects.

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 well-structured, front-loading the purpose and then providing instructions and an example. At around 150 words, it is informative without being overly verbose, though minor trimming could improve conciseness.

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 complexity of creating a deck with auto-generated images, the description covers all necessary aspects: input format, model responsibility, image handling, and expected output (file path). The presence of an output schema (indicated in context) ensures return values are documented.

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 0%, but the description provides a detailed JSON example of the plan_json parameter, explaining each field and optional elements. This adds significant meaning beyond the schema's type definition, fully compensating for the lack of schema documentation.

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 'Create a PowerPoint deck from a structured plan and return the file path', providing a specific verb ('create') and resource ('PowerPoint deck'). The example of the JSON plan distinguishes it from sibling tools like generate_image, which produce images instead.

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 explicitly instructs that 'The orchestrating model is expected to do any web research and produce the slide plan', providing clear context for when this tool should be invoked. It also explains image generation behavior, though it lacks explicit exclusions or comparisons to alternatives.

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