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

Annotations cover the safety profile (idempotent, non-destructive), but the description adds the non-obvious partial-update rule: the two settings are stored together, so omitting one resets it to default. It also notes the return ('saved settings') and the underlying POST endpoint, giving real behavioral context beyond the annotations.

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?

Front-loads the purpose, then the settings, then the storage caveat; every clause carries information. Slightly run-on with the parenthetical enum list, but no wasted 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 no output schema, the description compensates by stating it returns the saved settings. Combined with the reset semantics and endpoint, an agent has enough to call it correctly; only explicit read-back guidance is missing.

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 100%, so baseline would be 3. The description exceeds that by explaining a cross-parameter rule the schema cannot: 'custom takes a persona, and a persona alone means custom,' clarifying the goal/persona interaction.

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+resource: setting how notebook_ask answers in this notebook, enumerating exactly the two settings (goal and answer length) it controls. It also names the consuming sibling (notebook_ask), so an agent can distinguish it from the many other notebook_* tools.

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?

Makes the temporal scope explicit ('for the questions that follow'), which tells the agent this must be set before asking. It does not name a read/alternative sibling (e.g., notebook_get_chat) or state exclusions, so it falls short of a 5.

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