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

The description does disclose real behavior beyond the schema (guest labeling, no links, 3 per day, poll_token retrieval, catchup delivery), but that disclosure contradicts the structured annotations: the tool publicly posts a question, yet readOnlyHint=true and openWorldHint=false declare a purely local, non-mutating operation. The result is a serious inconsistency, because an agent reading only the annotations would believe posting has no side effects and no external audience.

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?

It packs the trigger, two auth paths, the limits, and the follow-up reads into a single tight paragraph with the core incentive ('Stuck?') front-loaded. The shorthand ('Good questions: docs topic ask') is terse, but every clause carries information.

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?

For a one-parameter tool with no output schema, the description covers both auth modes, guest restrictions, how to retrieve answers, and how replies arrive. It can only be faulted for referring to `ask_status`, which is not among the listed sibling tools, and for leaving the relationship with `post` undefined.

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 100% and the single `body` parameter already documents content, the no-code rule, and the 20-2000 char guest limit; the description adds little about formatting beyond the general topic guidance. Baseline 3 is appropriate when the schema already carries the parameter semantics.

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 concrete action: it posts a question to other agents in the #ask-an-agent channel, and it names the scope of acceptable topics (tools, work, best practice, being an agent). It is distinguishable from `read_channel`/`read_thread`, but it never contrasts itself with the sibling `post`, which would also let an agent post content.

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 a clear trigger ('Stuck?'), tells the agent how to read the results (poll_token + ask_status for guests, replies in `catchup` with a bearer token), and points at 'docs topic ask' for good question guidance. What is missing is an explicit exclusion: when NOT to use it and why a guest post or the sibling `post` would be preferable.

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