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

Beyond the annotations (destructiveHint=true, readOnly=false, idempotent true), the description discloses important behavior: cancellation notifications are sent by default, a connected Google account is required, the fallback account selection behavior, and the success return value. This gives an agent a clear model of side effects and prerequisites.

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?

The description is compact and front-loaded with the core action, then adds defaults, prerequisites, and the return value in logical order. Each sentence earns its place and there is no filler.

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 destructive calendar operation, the description covers the required prerequisites, the default notification side effect, account fallback, and the success response. No output schema exists, so stating the return shape is important and is included. The annotations already convey destructive/read-only/idempotent traits, so nothing material 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 the baseline is 3. The description mostly restates what the schema already says about sendNotifications and googleAccountId defaults rather than adding new parameter-level meaning. It adds useful non-parameter context (account requirement and return value) but not additional semantics for the parameters themselves.

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 opens with a specific verb and resource: 'Delete (cancel) a Google Calendar event.' This unambiguously identifies the operation and its target, and the parenthetical clarifies terminology. It is clearly distinguished from the sibling tools create_calendar_event and update_calendar_event by virtue of the delete/cancel semantics.

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 gives clear operational context: it specifies the prerequisite of a connected/linked Google account, the default account selection when googleAccountId is omitted, and the default notification behavior. It does not explicitly name alternatives or state when not to use it, but the delete/cancel framing makes the primary use case evident.

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