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Weibo MCP Server

Weibo MCP Server

by qinyuanpei
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_profile

Retrieve profile details for a Weibo user by providing their unique identifier, enabling access to user information from the platform.

Instructions

Get a Weibo user's profile information.

Returns:
    dict: Dictionary containing user profile information

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "uid": "<uid>"
    },
    "name": "get_profile"
  }
}

Input Schema

NameRequiredDescriptionDefault
uidYesThe unique identifier of the Weibo user

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states what the tool does and the return type, but lacks details on permissions, rate limits, error handling, or whether it's a read-only operation. This is insufficient for a tool that likely involves API calls and user data retrieval.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded, with the core purpose stated in the first sentence and a brief note on the return value. There's no unnecessary information, but it could be slightly more structured (e.g., separating usage notes).

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete. It doesn't cover behavioral aspects like authentication needs or rate limits, and while it mentions the return type, it doesn't detail the structure of the profile information. For a tool with potential complexity in API interactions, this leaves significant gaps.

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 description coverage is 100%, so the input schema already fully documents the 'uid' parameter. The description adds no additional meaning beyond what the schema provides (e.g., it doesn't explain format constraints or examples). This meets the baseline score when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('a Weibo user's profile information'), making it immediately understandable. However, it doesn't explicitly differentiate this from sibling tools like 'get_followers' or 'search_users', which might also retrieve user-related data, so it doesn't reach the highest score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention scenarios where this is preferred over other sibling tools (e.g., 'get_followers' for follower lists or 'search_users' for finding users by criteria), nor does it specify any prerequisites or exclusions for usage.

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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