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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds mode-level behavior (which fields each action touches) but says nothing about permissions, whether set overwrites existing values, or the Slack webhook prerequisite. Adequate but not rich beyond 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?

Two tight sentences, front-loaded with the get/set distinction and then the two set variants. Every clause carries distinct information; nothing is redundant with the schema descriptions.

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 does sketch what 'get' returns (e-mail/Slack alert settings) and covers both modes plus the dataset-scoped variant. It stops short of detailing the returned structure or the Slack webhook setup requirement, but is sufficient to invoke correctly.

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%, so baseline is 3, but the description adds a genuine relationship not in the schema: dataset_id and dataset_notifications must be combined to toggle alerts for one followed dataset, while email/slack_notifications are account-wide. That pairing constraint is the key invocation detail.

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 specific verbs and resources for both modes: 'get' returns e-mail/Slack alert settings, 'set' changes them. The name says only 'set', but the description immediately disambiguates the dual read/write nature. No sibling tool overlaps with notification settings, so differentiation is not needed.

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 description routes the agent between the two modes ('get' returns, 'set' changes) and spells out the two distinct set behaviors (global email/slack toggles vs. per-dataset toggle). No when-not-to-use guidance or prerequisites are given, but the mode-selection context is clear.

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