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logout_manabuy

Remove the locally saved ManaBuy login token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It adds meaningful context by specifying 'locally saved', indicating the operation is client-side and does not necessarily invalidate a server session. This is valuable beyond just saying 'logout'. However, it does not disclose what happens if no token exists or whether the operation is idempotent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is concise, front-loaded with the action, and contains no unnecessary words. It earns its place entirely.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 0-parameter tool with no output schema, this description fully covers what the tool does and its scope (local token removal). It is complete given the low complexity, and no additional information is needed to use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the schema coverage is 100% (empty properties). The description does not need to explain parameters. Per the baseline for 0 params, a score of 4 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's action: removing a locally saved login token. The verb 'Remove' and resource 'locally saved ManaBuy login token' are specific, and it distinguishes itself from siblings like login_manabuy (which creates the token) and get_login_status (which checks it).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The context of logging out is implied by the name and description, but there is no explicit guidance on when to use this tool versus alternatives, such as mentioning that it only affects local storage and not server-side sessions. No exclusions or alternative tool mentions are provided.

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

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TDQS

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct action or resource: auth (login/logout/status), product discovery (search/detail), ordering (quote/create/status/detail). There is no functional overlap that would cause an agent to select the wrong tool.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, such as search_products, create_order, get_login_status. Even login_manabuy and logout_manabuy fit the pattern with the domain as the object.

Tool Count5/5

With 9 tools, the server is well-scoped for the ManaBuy ordering domain. Each tool covers a necessary step in the workflow without redundancy or bloat.

Completeness4/5

The set covers product discovery, quoting, order creation, order status/detail tracking, and session management. A notable gap is the lack of a cancel order or list orders capability, but the core purchasing flow is complete.

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