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独行录 / opcmenu

读我的兴趣偏好

get_my_preferences
Read-onlyIdempotent

【需要登录】返回当前用户设置的兴趣标签(用于回显,改前先读)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

注解已提供 readOnlyHint=true、idempotentHint=true、destructiveHint=false 的完整安全画像,描述在此基础上补充了“需要登录”的认证前提——这是注解未覆盖且对调用成败至关重要的信息。描述与注解无矛盾,且增加了场景说明。

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?

单句描述包含三项关键信息:登录要求、返回值、调用时机,且认证这一前置条件被前置标注。没有冗余文字,每部分都承载独立信息。

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

Completeness4/5

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

对零参数、注解丰富的简单读取工具而言,描述已覆盖认证前提、返回内容和调用时机,基本完备。缺少返回格式的具体说明,也未显式写出写对应工具名,但由于无输出 schema 且工具极简,影响很小。

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?

工具无参数,按规则基准为 4。描述中的“当前用户”补充了身份解析语义——即工具基于登录会话确定目标对象,而非接受用户 ID 参数,这对代理理解调用方式有实际价值。

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?

描述使用具体动词“返回”和明确资源“当前用户设置的兴趣标签”,清楚说明了工具的功能与范围,并点明数据用途是“回显”。这与众多 get_my_* 兄弟工具(如 get_my_profile、get_my_card)能自然区分开。

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?

“用于回显,改前先读”明确给出了使用时机:在修改偏好之前先读取当前值用于界面回显。虽然没有直接点名 set_my_preferences 这个写操作兄弟工具,但“改前先读”已隐含了读写配对的调用顺序,上下文清晰。

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.

Resources