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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds that the result is an aggregated digest spanning team activity, blockers and leads, which is useful composition context, but says nothing about result volume, caps, or whether sections can be empty.

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, zero filler, and the content summary plus the 'start here' routing instruction are both front-loaded. Nothing is repeated across sentences.

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 one optional parameter, full schema coverage and no output schema, the description carries the burden of explaining return contents — which it does by enumerating the digest's sections. Only minor gaps (window semantics, empty-section behavior) remain.

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 parameter already documents 'How far back to look, in hours (1–168, default 24).' The description's 'since a given number of hours ago (default 24)' merely restates that, without adding interpretation such as how the window interacts with the aggregation.

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?

Uses a concrete verb-resource framing ('Catch up on your business') and enumerates the three content buckets returned: AI team activity, items needing the owner (problems, approvals), and new leads/enquiries. This makes it distinguishable from narrow siblings like list_leads and list_pending_approvals as an aggregate view, though it never names those siblings explicitly.

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?

'Start here when the owner asks what's happening' gives an explicit entry-point condition, which is exactly the routing signal an agent needs for an orientation tool. It stops short of stating when NOT to use it or which sibling to prefer for a narrower question.

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