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

Beyond the annotations, it discloses that the call returns immediately with talk_id and status while parsing/extraction run asynchronously, names the tool that reports progress, explains the gamma server-side export and its dedup behavior, notes that upload_id bytes never traverse the conversation, and states the Presenter Pro entitlement plus the free-account limit of one talk. This is substantial behavioral context the structured fields do not carry.

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 use case and the primary deck-source decision are front-loaded, and nearly every sentence carries load-bearing information. It is, however, a single very dense paragraph with multiple nested asides (token cost, gamma dedup, entitlement tiers), which makes it harder to scan than a lightly structured version would be.

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 still covers the return value (talk_id and status), the asynchronous follow-up path, the deck-source decision, the optional script and grounding documents, and the permission requirement. An agent has everything needed to invoke it correctly and to know what happens next.

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 already 100%, so the baseline is 3, but the description adds a constraint the schema cannot express: the three deck sources are mutually exclusive ('exactly one of'), which matters because the schema marks zero parameters required. It also clarifies the narrate_over semantics and the gamma URL handling, though much of the per-parameter detail duplicates the rich schema descriptions.

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 states a specific verb and resource — 'Creates a talk ... from a PDF, PPTX or PPT deck' — and enumerates the use case (rehearsing/delivering a presentation) so an agent can tell it apart from sibling tools like aitho_prepare_upload, aitho_attach_script, and aitho_get_talk. It also scopes the deck sources precisely, leaving no ambiguity about what is being created.

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 gives explicit when-to-use framing ('For rehearsing or delivering a presentation ... including a deck made earlier in the conversation') and enforces the mutual-exclusivity rule: 'The deck comes from exactly one of: deck_upload_id ... deck_file ... deck_url'. It routes the agent to the prerequisite tool (aitho_prepare_upload) and to the follow-up tool (aitho_get_ingest_status), and explains the size tradeoff that selects deck_upload_id over deck_file.

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