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独行录 / opcmenu

更新我的公司

update_my_company
Idempotent

【需要登录】更新当前用户名下的公司主页(按 ownerId upsert,所有字段可选但仍要满足 schema:传 slug/name 时格式校验)。先用 get_my_company 读现状。slug 被别人占用会报 slug_taken。

【发布】先过后审:立即生效,后台异步风控审计。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo公司 / 工作室名称
sizeNo团队规模,可选:SOLO(一人公司) | SIZE_2_5(2-5 人) | SIZE_6_10(6-10 人) | SIZE_11_50(11-50 人) | SIZE_50_PLUS(50 人以上)
slugNo公司主页 URL 标识,小写字母/数字/连字符,全局唯一
logoUrlNoLogo 图 URL,可选
taglineNo一句话定位,可选
locationNo所在地,可选
websiteUrlNo官网 URL,可选
descriptionNo详细介绍:在做什么、为谁做、进展,越详细内容质量越高
foundedYearNo成立年份,可选

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?

Adds substantial behavior beyond annotations: login requirement, ownerId-based upsert, schema validation on optional fields, slug conflict error, and especially the publish flow ('先过后审:立即生效,后台异步风控审计'). This gives the agent real operational expectations.

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?

Two tightly structured paragraphs with no filler. The most important facts—login, upsert, pre-read, validation, error, and moderation—are all included in a compact, scannable format.

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?

Despite no output schema, the description covers the critical operational context: who it affects, how upsert behaves, what to do first, a known error, and the post-moderation publishing model. This is complete enough for an agent to safely invoke the tool.

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?

With 100% schema description coverage, the schema already documents parameters. The description adds useful extra meaning: all fields are optional but validation still applies, and slug conflicts surface as slug_taken. This goes slightly beyond 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?

Description states a specific action ('更新当前用户名下的公司主页') with clear resource and owner scoping ('当前用户名下', '按 ownerId upsert'). It distinguishes itself from generic company tools by clarifying upsert semantics rather than just 'update'.

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?

Clearly instructs the agent to call get_my_company first to read current state, and documents the slug_taken error condition. It implies when-not-to-use by restricting to the current user's own company, but does not explicitly contrast with create_company as an alternative.

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