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

With no annotations, the description bears the full disclosure burden, and it does add real behavioral value: every item carries a verbatim quote and unverified items are flagged rather than asserted as fact. However, it omits read-only/mutation status, what happens when the meeting is unknown or not yet processed, and any sense of result size or paging.

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, no filler, and the substantive promise (quote-backed, verified-vs-unverified items) is front-loaded. Every clause carries information an agent cannot get from the name alone.

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 and no annotations, the description usefully characterizes the return content, which covers part of the gap. It is still incomplete for invocation: the sole input parameter is undefined and there is no guidance on failure modes or result shape.

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?

The single required parameter 'meeting' has 0% schema description coverage, and the description never mentions it — not whether it is an ID, a title, or a room handle. The one place the description could compensate for the schema gap is exactly where it is silent.

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 concretely what the tool returns: decisions, open questions, actions and live disagreements extracted from a room's conversation, with verbatim-quote verification. That distinguishes it from siblings like get_transcript (raw transcript) and get_task (task records). It stops short of a clean verb+resource framing ('List notes for a meeting'), so it is clear but slightly atmospheric.

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?

There is no statement of when to reach for this tool versus get_transcript, get_task, my_tasks, or list_meetings. The agent must infer the selection rule purely from the return content described, with no explicit alternatives or exclusions.

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