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独行录 / opcmenu

吊销我的接入设备

revoke_my_device
DestructiveIdempotent

【需要登录】吊销当前用户的某台接入设备(其 token 立即失效)。先用 list_my_devices 拿 deviceId。返回 revoked 是否实际吊销了一条。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deviceIdYes设备 id

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

The annotations already indicate destructive behavior, non-read-only, and idempotent semantics. The description adds meaningful context: the token becomes invalid immediately, login is required, and the return value 'revoked' indicates whether an actual revocation occurred. These details go beyond the annotations and help the agent anticipate side effects.

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 compact and every clause earns its place: login requirement, operation and effect, prerequisite workflow, and return-value semantics. It is front-loaded with the most critical gate ('需要登录') and avoids any filler.

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 single-parameter tool with no output schema, this description provides everything an agent needs to invoke it correctly: authentication requirement, how to acquire the parameter, what the operation does, and what the response means. No critical information is missing.

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 schema covers 100% of the parameter with a minimal description ('设备 id'), while the tool description adds important semantic guidance: the deviceId should come from list_my_devices. This provenance information is genuinely useful for correctly populating the parameter, raising it above the baseline.

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 uses a specific verb ('吊销'/revoke), names the resource ('当前用户的某台接入设备'), and states the effect ('token 立即失效'). It clearly distinguishes this tool from siblings by scoping it to the current user's own device and explicitly referencing list_my_devices as the way to obtain the deviceId.

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

Usage Guidelines4/5

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

The description says it requires login and instructs the agent to first call list_my_devices to obtain a deviceId, which is a clear workflow guideline. It does not mention exclusions or alternative tools explicitly, but the usage context is unambiguous: revoke one of the current user's devices.

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

A4.1/5.0
Disambiguation4/5

Each tool has a clearly documented purpose, often with explicit 'when to use' guidance and cross-references, making the vast majority easy to tell apart. A few clusters (get_my_brief, get_my_positioning, get_my_work, get_my_dispatch) and data-overlapping get_my_card vs get_my_profile require careful reading, but descriptions are detailed enough to prevent serious misselection.

Naming Consistency4/5

The overwhelming majority follow snake_case verb_noun conventions (create_product, update_need, list_my_signups). Minor deviations include noun-only feed names (personalized_feed, random_feed), inconsistency between 'prefs' and 'preferences' in notification tools, and a mix of update_* and set_* for mutations, but the pattern remains predictable overall.

Tool Count1/5

137 tools is an extreme mismatch for any MCP server, far exceeding the 50+ threshold for a score of 1. Even with a broad multi-domain platform, this volume makes tool selection and navigation impractical and heavily burdens the agent's context window.

Completeness5/5

The surface covers full lifecycles for needs, products, activities/signups, conversations, collaboration goals/tasks, dispatch, profile/onboarding, and supporting resources like companies, parks, policies, and ratings. Deliberate omissions (no user-post creation, no organizer profile editing via agent) are explicitly documented, so core workflows have no obvious dead ends.

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