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

Annotations already cover read-only and closed-world, so the bar is lower; the description still adds real context: templates are free to call, and selecting one pushes its brief into the chat, which is a side effect an agent should know about. It does not describe pagination or how many templates come back, a minor gap.

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 two sentences are dense but front-load the core identity before the workflow, and every clause carries information. The run-on phrasing around the field list and the handoff to studio_quote/studio_generate could be tightened without loss.

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 parameters and no output schema, the description must itself convey what comes back, and it does by listing the fields of each template. The only omitted details are volume/pagination and any cost notes beyond 'free to call.'

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?

There are zero parameters, so the baseline is 4. The description instead characterizes the returned objects (look, story, count, format, brief slots), which is useful for a no-arg tool but belongs to output semantics rather than parameters.

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 concretely enumerates what the tool surfaces (a slide, its look, story, slide count, format, and a brief with [slots]), which tells an agent far more than the name alone. It lacks an explicit verb ('list'/'browse'), but the resource and its contents are unambiguous and distinguishable from studio_generate/studio_quote.

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?

It names a clear triggering condition ('when someone wants a carousel or cover and has no idea yet') and routes the agent down the pipeline: this tool, then studio_quote, then studio_generate. No explicit when-not or exclusion against studio_list, but the use case is clearly scoped.

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