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

No annotations are provided, so the description carries the behavioral disclosure burden. It does this well by positioning the tool as a preview step and explicitly stating that the result returns a continue_url for later full creation. It does not detail auth expectations or whether any persistent workspace object is created before continuing, but the preview-and-continue behavior is clearly conveyed.

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?

Two sentences with no filler. The first sentence states what the tool does and its inputs; the second gives the user/agent the immediate next step and the key output. Every sentence earns its place.

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 description, combined with a detailed input schema and an output schema, covers the core call pattern: provide a topic or inline data, receive an outline and continue_url. It does not explicitly disambiguate what happens if both or neither of topic/data are supplied, but the instruction 'Provide a topic or inline CSV/JSON' strongly implies at least one is needed. Overall it is complete enough for correct use.

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 (80%), so the schema already explains most parameters. The description adds the topic-or-data relationship and the continuation flow, but it does not meaningfully expand on data_format or clarify behavior when both topic and data are supplied. This is acceptable but not additive enough to exceed the baseline.

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 names a specific action (preview), a specific resource (slide-deck outlines), and the two accepted input modes (topic or inline CSV/JSON). It also clarifies the follow-up workflow via OutSlide, making the tool's role immediately understandable.

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 clearly states when to use the tool: when you want to preview an outline before building a full presentation. It tells the agent to provide either a topic or inline CSV/JSON and that the result is a continue_url for further creation. There are no sibling tools to contrast against, but the usage context is explicit.

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