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独行录 / opcmenu

按 URL 上传图片

upload_image_from_url

【需要登录】把一张公开可访问的图片 URL 镜像进独行录存储,返回稳定的图片地址。

【何时用】要给「我的头像 / 产品 logo / 产品封面 / 产品图集 / 活动封面」设图时:先用本工具把外部图片 URL 转成独行录地址,再把返回的 url 填进 update_my_profile(avatarUrl) / update_my_product(logoUrl·coverUrl·gallery) / create_product / create_organizer_activity(coverUrl·posterUrls)。

【限制】仅支持公网 http(s) 图片,带大小/类型/SSRF 校验。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo用途(决定存储分类),默认 avatar
sourceUrlYes图片的公开 http(s) URL

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations indicate a non-readonly, non-idempotent, non-destructive write, and the description adds consistent context: login required, external URL is mirrored into storage, and size/type/SSRF validation applies. It doesn't cover rate limits or quota, but the key behavioral traits are disclosed without contradicting the 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?

Three short labeled sections (auth+operation, when/how, limitations) carry no filler. The most critical information is front-loaded, and each sentence earns its place.

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 two-parameter upload helper with no output schema, the description states the essential return value (stable image URL), the auth requirement, the validation limits, and the exact downstream tools that consume the result. Nothing needed to call it correctly 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?

Schema description coverage is 100%: sourceUrl is documented as 公开 http(s) URL and kind as 用途(决定存储分类)with enum and default. The description mainly repeats the parameter constraints and adds downstream field mapping, but it does not materially extend the schema's parameter documentation.

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 uses a specific verb and resource: 把公开图片 URL 镜像进独行录存储,返回稳定图片地址. It clearly distinguishes this upload helper from downstream update/create tools by framing it as the prerequisite step.

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 【何时用】 section gives an explicit trigger ('要给头像/logo/封面/图集/活动封面设图时') and a concrete sequence: upload first, then pass the returned url into update_my_profile/update_my_product/create_product/create_organizer_activity. The 【限制】 section also states valid inputs (public http(s) only), preventing misuse.

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