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

Annotations cover the safety profile (readOnly=false, destructive=false, idempotent=false, openWorld=true), and the description adds material beyond that: sync vs. async behavior with the polling path, the composition of the output (laid-out text, theme, speaker notes), where per-slide images come from, and an auth prerequisite ('generate' scope). It still does not mention cost/quota implications despite a get_quota sibling, so it is strong but not exhaustive.

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?

Three sentences, front-loaded with the core action and artifact, then the sync/async contract, then output composition and scope. It is dense and largely waste-free, though the unexplained 'creadal editor' reference is an internal term that adds little for an agent and could confuse.

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, the description does the necessary work of explaining the two return modes and that a job must be polled via get_job, plus what the composed deck contains. It remains a bit thin on what the job/result object actually returns, but for a 9-parameter tool with 89% schema coverage it is close to complete.

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 high at 89%, so the schema already carries the parameter burden, including the themeId, templateId, designType, motion, and sources semantics. The description adds essentially no parameter-level syntax or defaults beyond a passing reference to theme selection, so the baseline 3 applies.

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?

Names a specific verb and resource ('Generate a complete, editable presentation') and immediately expands the artifact scope to document/poster/social set, so the agent knows it produces multiple design types rather than decks alone. It also distinguishes itself from the get_job sibling by explaining the asynchronous handoff, so it is identifiable without opening a schema.

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?

Gives clear contextual guidance: the tool may return synchronously or hand back a job for get_job polling, which tells the agent how to handle both outcomes, and it names the required 'generate' scope. It does not state when to prefer this over alternative generation paths or when not to use it, so it stops short of explicit alternatives.

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