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Glama

独行录 / opcmenu

导出我的创客数据卡

get_my_card
Read-onlyIdempotent

【需要登录】一次调用拿全「我是谁」的结构化全集:基本信息(含 canOffer 我能提供什么)+ 按分组聚合的全部链接(标注每条可见范围)+ 已发布产品 + 多角色画像 roleProfile(融资/投资人/机构/资源寻找者/在校/阶段)+ 我关注的产品。

【何时用】写开场白、填外部平台的表单、生成 BP 大纲、判断该不该接某条需求——这些事都要先有这一份。别为了凑齐这些信息去连调四五个工具,这里一次给全。

【组合链】get_my_card → 拿 canOffer 对照 list_needs_feed 挑能接的 → contact_need → send_message。 【想改】资料本体走 update_my_profile;角色画像走 set_my_role_profile;也可以用 resource opcmenu://me/card 拿同样数据。 【完整度】missing 列出还没填的关键项(照名片完整度口径),是「还差哪几步」的现成代办清单。

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

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive hints. The description adds meaningful behavioral context beyond annotations: login is required, the tool returns grouped and visibility-tagged data, and the 'missing' field serves as a ready-made completeness checklist. No contradiction with annotations.

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 well-structured with labeled sections: content summary, when to use, combination chain, modification routing, and completeness semantics. Despite its length, every section adds practical value and the core promise is front-loaded in the first sentence.

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 zero-parameter read-only aggregation tool with no output schema, the description fully covers what data is returned, when to use it, how to chain it with other tools, and where to go for modifications. Nothing essential is missing for an agent to invoke 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 schema description coverage is 100%, so the description has no parameter burden. It correctly implies no inputs are needed and focuses on what the response contains.

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 states a specific verb-resource relationship: one call retrieves the complete structured set of 'who I am' data, enumerating basic info, links with visibility, published products, role profiles, and followed products. It clearly differentiates from sibling getters by emphasizing aggregation ('一次调用拿全') and by naming alternative tools for modifications.

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

Usage Guidelines5/5

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

The description explicitly lists when to use this tool (writing openers, filling external forms, generating BP outlines, judging demand fit) and advises against chaining multiple tools for the same data. It also routes modifications to update_my_profile and set_my_role_profile, giving clear alternatives.

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