timetree_logout

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

No annotations exist, so the description carries the full transparency burden. It discloses a meaningful side effect: clearing the session cookie and CSRF token. The 'in-memory' qualifier also usefully scopes the effect to client-side runtime state, which goes beyond what the schema conveys.

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 a single front-loaded sentence with no filler. Every part of it contributes meaning: what is cleared, the scope ('in-memory'), and the exact artifacts affected.

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 no-input, no-output-schema destructive action, the description is complete enough for invocation. It identifies the target state change and the scope, and nothing meaningful is missing for an agent deciding whether to call this tool.

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?

The tool has zero parameters and the schema is an empty object with 100% coverage, so the baseline for parameter semantics is 4. The description does not need to add parameter-level meaning because there are no parameters to document.

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 uses a specific verb ('Clear') and a precise resource ('in-memory TimeTree session cookie and CSRF token'), so it is not a tautology of the tool name. It is easy to distinguish from related auth tools like timetree_login and timetree_status.

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 does not explicitly state when to use this tool instead of alternatives, nor does it mention conditions or exclusions. However, the logout semantics are implied by the tool name and by the existence of timetree_login, so the use case is inferable rather than fully absent.

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