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

With no annotations, the description appropriately discloses the human impact of turning notifications off and warns to confirm first. It still leaves out mutation semantics such as whether omitted booleans remain unchanged, partial-update behavior, reversibility, and permission requirements.

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, front-loaded with the main action and followed by the critical warning. There is no wasted text, and the confirmation instruction is placed where it is most useful.

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 mutation tool with five parameters, no annotations, no output schema, and low schema description coverage, the description is too thin. It explains the high-level effect but not enough about update semantics or parameter-specific behavior for reliable invocation.

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 only 20% across five boolean parameters, so the description should compensate but largely does not. It mentions 'low credits' and 'meetings' as examples, but does not map these to `credit_alerts` or `meeting_reminders`, nor explain `email_notifications`, `in_app_notifications`, or `analytics_emails_enabled`.

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 states a specific verb/resource pair ('Turn personal notifications on/off') and names the user-facing effect. It is distinguishable from the sibling `get_notification_preferences`, but it does not explicitly route the agent between reading and updating preferences.

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?

It gives a clear usage constraint for disabling notifications ('confirm with the user first') and examples of affected alerts. However, it does not say when to use this versus `get_notification_preferences` or other notification-related sibling tools.

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