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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuine value beyond that by documenting the returned payload sections, which substitutes for the missing output schema. It stops short of describing ordering, counts, or behavior when a section is 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?

A single front-loaded sentence with the verb and resource first, followed by a scannable list of return sections. Every clause maps to a distinct piece of returned data, so nothing is waste.

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 usefully enumerates what comes back, which is the key missing structured information. It omits minor but real details: item ordering, limits, and behavior when the brain has no commitments or questions, so it is strong but not exhaustive.

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?

There is only one parameter and schema description coverage is 100%, including the default-to-active-brain behavior, so the schema carries the semantics. The description adds nothing about the brain argument. Baseline 3 applies.

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?

States a specific verb (Returns) plus the resource (a brain's review data for today) and then enumerates the exact sections: open commitments, thin memories, sources with last-read dates, unanswered questions, stale topic summaries. This lets an agent distinguish it from narrower siblings like open_commitments, attention_list, and topic_summary_get, since this is clearly an aggregated daily dashboard.

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 name and content imply a start-of-session orientation call, so the when-to-use is inferable, but there is no explicit guidance such as 'use this for a daily overview instead of calling open_commitments and topic_summary_get separately'. No exclusions or alternatives are named.

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