Skip to main content
Glama
yy-MAX-HUB

AI Social Data MCP

by yy-MAX-HUB

get_user_posts

Fetch public posts from a user's profile on Douyin or Xiaohongshu. Automatically paginate to retrieve the requested number of results.

Instructions

获取公开用户发布内容列表。count 是单页目标;当用户要求更多且返回 pagination.has_more=true 时,必须保持用户参数并用 pagination.next_cursor 自动继续调用,直到满足用户数量或无更多结果。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo期望返回条数。
cursorNo上一页 pagination.next_cursor;自动翻页时原样传回。
user_idNo平台用户 ID。
platformYes用户所属平台。
verbosityNostandard 返回适合 Agent 的详细结构;full 返回上游完整原始数据。standard
share_textNo用户主页分享文案或链接。
sec_user_idNo抖音 sec_user_id。
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that count is a per-page target, and that the tool will automatically paginate while preserving user parameters until the requested count is met or results are exhausted. This is meaningful behavioral context beyond the schema.

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 two concise sentences, front-loaded with the primary purpose. Every sentence adds value, with no redundant information.

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

Completeness4/5

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

Given 7 parameters and no output schema, the description covers the crucial pagination behavior but does not clarify how to identify the user (user_id, share_text, or sec_user_id) or require one of them. However, the schema descriptions for those parameters partially compensate, making the description reasonably complete for the core use case.

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 description coverage is 100%, so the baseline is 3. The description adds semantics for count (single-page target) and clarifies cursor usage in auto-pagination, which goes beyond the schema's field descriptions. Other parameters are adequately covered by 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?

The description clearly states the tool retrieves a list of a user's public posts, using a specific verb and resource. It distinguishes itself from siblings like get_user_profile and get_comments by focusing on content list retrieval.

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

Usage Guidelines3/5

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

The description provides a clear pagination protocol (auto-continue with next_cursor when has_more=true), but it does not explicitly mention when to use this tool over alternatives like social_search or get_content_detail. There are no exclusions or alternative tool references.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/yy-MAX-HUB/feedsonar-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server