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独行录 / opcmenu

取关产品

unfollow_product
Idempotent

【需要登录】【何时用】用户说「这个不用留着了」。

【组合链】get_my_card 看当前关注了哪些 → 本工具取关。

【口径/坑】幂等,本来就没关注也返回成功(不报错)。对方永远看不见你关注过或取关过。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productIdYes产品 id(cuid)

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Beyond annotations, the description adds valuable behavioral details: it requires login, is idempotent and returns success even if the product was not followed, and the privacy guarantee that the target user cannot see follow/unfollow actions. These are non-obvious and materially affect agent expectations. 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 compact, clearly sectioned, and front-loads the signal and trigger condition before the usage chain and caveats. Every sentence contributes distinct information with no 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 simple one-parameter mutation tool with no output schema, the description covers the trigger, prerequisite data source, idempotency behavior, auth requirement, and privacy implications. Nothing needed for correct invocation is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already fully documents the single parameter productId with type and a brief description ('产品 id(cuid)'), so schema coverage is 100%. The description adds that productId can be obtained from get_my_card, which is mildly useful context but not essential, so a baseline 3 is appropriate.

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 clearly states the action ('本工具取关', unfollow) and the resource (product), aided by the title '取关产品'. It also grounds the use case with a concrete user utterance ('这个不用留着了'), which disambiguates it from sibling tools like unfollow_creator.

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 '【何时用】' section explicitly states when to trigger the tool, and the '【组合链】' gives a practical workflow (get_my_card → unfollow_product). It does not explicitly name alternatives or exclusions, but the product-focused wording and sibling set make the target scenario clear enough.

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