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独行录 / opcmenu

更新我的产品

update_my_product
Idempotent

【需要登录】更新当前用户名下某个产品(仅本人可改)。先用 get_my_products 拿 productId。所有字段可选,只传想改的;links 传则整组替换。

【发布】先过后审:立即生效,后台异步做风控审计,不卡审核。注意:编辑会把已下架(ARCHIVED)产品重新发布上架——只想改内容不想上架的,改完再用 set_product_status 下架回去。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
slugNo
tagsNo
linksNo整组替换全部链接
galleryNo
logoUrlNo
taglineNo
categoryNo产品分类,取值:SAAS(SaaS / 微 SaaS) | APP(App) | MINI_PROGRAM(小程序) | AI_AGENT(AI 工具 / 智能体 / 数字人) | DEV_TOOL(开发者工具 / API / 开源 / 插件) | GAME(独立游戏) | CONTENT(自媒体 / 播客 / 视频 / Newsletter) | DESIGN(设计 / 插画 / 创意) | DIGITAL_GOODS(模板 / 素材 / 课程 / 数字下载) | SERVICE(服务 / 咨询) | PHYSICAL(实体 / 手作 / 主理人 / 硬件) | COMMUNITY(社群 / 会员) | OTHER(其他)
coverUrlNo
productIdYes产品 id(cuid),从 get_my_products 拿
descriptionNo

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?

Goes well beyond the annotations by disclosing a major non-obvious side effect: editing an ARCHIVED product will re-publish it to live. It also explains the publishing model (immediate effect with async risk-control audit, no blocking review), which is essential behavioral context for an agent deciding whether to invoke this tool.

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 compact labeled sections with high information density. The critical warnings are bolded and front-loaded, and there is no filler or repetition of schema constraints beyond what is genuinely useful.

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 an 11-parameter PATCH-style mutation with no output schema, the description covers auth, ownership, ID acquisition, partial-update semantics, links group replacement, the publishing side effect, and the remediation path via set_product_status. Nothing essential for safe invocation 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?

Schema coverage is only 27%, so the description carries real weight. It adds the critical PATCH-like semantics ('只传想改的') and the replacement behavior for links. It does not detail every field, but most remaining fields are self-explanatory by name and constraints are visible in the schema.

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?

States a specific verb and resource: '更新当前用户名下某个产品(仅本人可改)', clearly identifying it as an update/change operation on the caller's own product. It also names get_my_products as the source of productId, further distinguishing the workflow from sibling tools like create_product or set_product_status.

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?

Provides explicit when/how: requires login, only affects the current user's own products, use get_my_products first, all fields are optional, and links replaces the entire group. It also identifies set_product_status as the correct alternative for re-archiving after an edit, giving clear routeing to a sibling tool.

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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