logout
現在のセッションのログイン状態を解除する。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
現在のセッションのログイン状態を解除する。
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description is the sole behavioral disclosure. It clearly identifies the state-changing action (releasing login state) but does not mention side effects such as token invalidation, idempotency, or error behavior when no session exists.
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?
A single concise Japanese sentence with no filler; the action and target are front-loaded.
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 zero-parameter logout with no output schema, the description gives enough to invoke the tool correctly. It lacks return/error semantics, but the operation is simple and the sibling set makes the purpose clear.
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 100% schema coverage, so there is nothing for the description to add; baseline 4 applies.
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 (解除する, 'release/terminate') and a clear resource (現在のセッションのログイン状態, the current session's login state). It is immediately distinguishable from the sibling start_login, though it does not explicitly name alternatives.
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?
No guidance is given on when to call logout versus start_login or other siblings. The intended context (after an authenticated session exists) is implied but not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a unique, clearly defined purpose: login, logout, search, genres, availability, create, and cancel. No two tools overlap in functionality, making selection straightforward.
All tools follow a consistent verb_noun pattern in snake_case (e.g., search_shops, get_availability, create_reservation). This predictable naming makes the API easy to navigate.
Seven tools neatly cover the necessary operations for an online reservation system without redundancy or bloat. The scope is appropriately focused on the core workflow.
The toolkit covers the essential reservation lifecycle: login, search, availability check, create, cancel, and logout. While an update/modify reservation tool is absent, it is not a typical requirement for this type of system, so the coverage is nearly complete.