generate_and_download

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

With no annotations, the description carries full burden for behavioral disclosure. It explains that the tool performs both generation and download atomically, and details parameter behaviors (e.g., extension requirements, optional instructions for slide decks). However, it omits key traits like error handling, network dependency, file overwrite behavior, or authentication requirements, leaving the agent with gaps.

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: first line states purpose, followed by supported types, then parameter details in a clear bullet-like list. It is sufficiently detailed without being redundant, though some parameter descriptions could be slightly tightened (e.g., repeating 'audio' for format/length).

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 tool's complexity (9 parameters, no annotations, no output schema), the description covers all parameters, return type (dictionary with status), and supported types with extension guidance. It lacks details on error conditions and the exact structure of the return dictionary, but for a generation + download tool, it provides adequate information for an agent to invoke it correctly.

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 fully compensate. It does so by providing detailed explanations for all 9 parameters, including extension mappings for output_path, the purpose of instructions (especially for slide decks), and options for audio and quiz parameters. This adds significant meaning beyond the bare parameter names and types.

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 purpose with a specific verb+resource: 'Generate an artifact and download it in a single call.' It lists supported artifact types (report, audio, slide_deck, quiz, infographic), clearly distinguishing from siblings like 'list_artifacts' (which just lists) and 'export_artifact' (which likely exports existing artifacts without 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 provides no guidance on when to use this tool versus alternatives (e.g., 'export_artifact'). It does not mention prerequisites, edge cases, or scenarios where this tool is preferred over others. The usage context is implied but not explicitly stated.

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