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

Annotations already declare destructiveHint=true, idempotentHint=true, readOnlyHint=false, openWorldHint=false. The description adds valuable behavioral context: it requires OAuth sign-in with a GotCashback account and the 'alerts' scope, and notes that anonymous callers are prompted to authorize. This is additional information beyond the annotations, clarifying authentication prerequisites and user scoping. No contradiction with 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 sentences, no fluff. The first sentence states the action and the exact store/alert types; the second provides the usage example, parameter sourcing guidance, and authentication requirements. Information is front-loaded and every clause earns its place.

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 only two parameters and no output schema, this description is complete. It covers the primary use case, parameter provenance, authentication, and alert type specificity (including edge cases like 'up to' rates and ignored portals). The destructive nature is implied by the verb 'removes' and covered by annotations, so nothing essential 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%, and both parameters are thoroughly documented in the schema, including details about alert_type semantics and store_id sourcing. The description adds only the instruction to pass both values unchanged from get_my_alerts, which is a minor reinforcement. Since schema carries the heavy lifting, the baseline of 3 is appropriate.

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 begins with a precise verb and resource: 'Removes the signed-in user's alert for a store and alert type'. It clearly identifies the target object (store alert) and scopes it to the signed-in user, distinguishing it from alert creation (set_store_alert) and alert listing (get_my_alerts). The purpose is unambiguous.

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 provides a concrete use case ('stop alerting me about Nike cashback') and explicitly instructs the agent to use get_my_alerts to retrieve the store_id and alert_type, passing them unchanged. It does not explicitly name set_store_alert as the alternative for adding alerts, but this is strongly implied by the sibling context and the removal verb. Slight gap in naming the alternative explicitly.

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