删一条我的链接
remove_profile_link【需要登录】按 url(可加 type 进一步限定)删除当前用户的链接。匹配不到则 no-op。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | 要删除的链接 url,需与现有完全一致 | |
| type | No | 可选,进一步限定类型 |
remove_profile_link【需要登录】按 url(可加 type 进一步限定)删除当前用户的链接。匹配不到则 no-op。
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | 要删除的链接 url,需与现有完全一致 | |
| type | No | 可选,进一步限定类型 |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations (destructive, idempotent, non-read-only), the description adds login requirement, exact-match deletion keyed by url, optional type narrowing, and no-op behavior on non-match. These traits are useful and consistent 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with the login requirement and core behavior up front, then the no-op caveat. No filler or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter, no-output-schema tool, this is complete: what is deleted, whose link, how the link is identified, optional refinement, auth requirement, and behavior on non-match.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents url and type. The description's note that type further narrows the deletion adds small orientation value but does not materially go beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description states a specific action (删除/delete) on a specific resource (当前用户的链接 / the current user's links), keyed by url with optional type. This clearly distinguishes it from sibling tools like add_profile_link and set_link_visibility.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It provides clear context: the tool operates only on the current user's own links and no-ops when nothing matches. It does not explicitly name alternatives or state when not to use it, but the scoping to current-user links makes the use case apparent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.