insights

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

With no annotations, the description carries the full burden. It usefully discloses the data source (things the user said) and the output shape (each item ships with evidence and a suggestion), but says nothing about read-only semantics, freshness, or how the limit affects results.

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?

One sentence, front-loaded with the concept and then the derivation and item structure. No wasted text; the only small cost is the terse Chinese label '觉察' which is less self-explanatory than the rest.

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?

Complexity is low and an output schema exists, so return-value explanation is not required. Still, for a tool an agent must choose against memories/day_summary, the missing usage routing and undocumented limit leave it only minimally complete.

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 description coverage is 0% and the single parameter 'limit' (default 10) is never mentioned in the description. While the parameter is fairly self-evident from its name and default, the description does nothing to compensate for the total coverage gap or clarify what is being limited.

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 names a specific resource: weekly-derived communication and work habits extracted from the user's own speech, each with evidence and suggestions. That is far more concrete than the bare name 'insights'. It does not, however, distinguish this from siblings like memories or day_summary, which also surface derived personal context.

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 explicit statement of when to call this versus alternatives such as memories or day_summary, and no prerequisites or exclusions. The 'weekly' cadence hints at scope but an agent must infer the trigger condition (user asking about their own habits).

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