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

Annotations already cover safety (readOnlyHint, destructiveHint=false, openWorldHint=false), so the bar is lower. The description still adds real value by disclosing the response shape — two distinct content modes (team vs client) with four named sections in priority order — which matters because there is no output schema.

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?

Three sentences, front-loaded with the core framing, then the content breakdown, then the call-to-action trigger. ''In Dora's words'' economically signals the output is narrative rather than raw structured data.

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 zero-parameter, no-output-schema tool this is close to complete: it says what the agent gets at a glance and when to reach for it. The one gap is that it never explains how the team-vs-client mode is chosen when there are no parameters to select it.

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 tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline applies. No parameter claims are made or needed.

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 briefing contains (ordered next requests, past-due items, client-blocked work, unassigned work, and client-facing to-dos), which goes well beyond restating the title. It doesn't name a sibling to contrast with, but the ''first call at conversation start'' framing makes its role distinguishable from list_requests or get_my_work.

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 trigger is explicit and actionable: ''Call it first when someone starts a conversation about their work.'' That is a clear when-to-use signal. It stops short of when-not-to-use or naming an alternative for narrower lookups (e.g. get_my_work, inbox).

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