Skip to main content
Glama
Yooki-K

weibo-hot-search-mcp-server

by Yooki-K

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool clearly targets a distinct function: listing hot searches, retrieving details for a specific word, and fetching comments for a URL. There is no overlap in purpose, so an agent can easily choose the correct tool.

    Naming Consistency5/5

    All tool names follow the same CamelCase pattern with the common prefix 'WeiboGetHotSearch' and a specific suffix indicating the operation (empty, Detail, CommentByUrl). This consistent naming convention makes the set predictable.

    Tool Count5/5

    Three tools provide a concise, focused surface for the server's stated purpose of accessing Weibo hot searches. This is within the ideal range and each tool contributes a distinct capability without unnecessary bloat.

    Completeness5/5

    The tool set covers the core workflow of browsing hot searches: listing them, getting details for a word, and fetching comments via URL. No obvious gaps exist for the narrow domain of hot search consumption.

  • Average 3.2/5 across 3 of 3 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

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

    With no annotations, the description carries the full burden of disclosure. It only says 'Get', implying a read operation, but gives no information about safety, rate limits, authentication, pagination, or side effects. This is insufficient for a tool with no other metadata.

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

    Conciseness3/5

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

    The description is a single concise sentence, but it largely restates the tool name without adding meaningful differentiation or behavioral context. It is efficient but under-informative.

    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?

    With no annotations and no output schema, the description is too thin to provide complete context. It fails to explain return values, error conditions, or integration with sibling tools, which is needed for a tool with three parameters.

    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 covers all three parameters with descriptions (100% coverage), so the baseline is 3. The description itself adds no additional parameter context beyond the schema, and the schema's descriptions are adequate.

    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 states a clear action ('Get') with a specific resource ('hot search comment') and identifies the input method ('by url'). It is distinguishable from sibling tools like WeiboGetHotSearchDetail by focusing on comments rather than general detail, though it does not explicitly contrast itself with them.

    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 instead of the siblings. It merely states the function without any context or exclusions, leaving the agent to infer usage.

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

  • Behavior1/5

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

    There are no annotations, and the description does not disclose any behavioral traits such as read-only nature, response format, or potential side effects. It is a bare statement that doesn't go beyond the tool's name.

    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 a single concise sentence, front-loaded with the verb and resource, with no unnecessary words.

    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?

    For a tool with no output schema and no annotations, the description is too minimal. It doesn't describe the return value, data structure, or any operational details, leaving the agent with only the name and one-liner. This is inadequate for even a simple tool.

    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?

    The tool has zero parameters, so the schema description covers everything. The description adds no parameter explanations, but none are needed.

    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 states 'Get hot search from weibo' which clearly identifies the action (get) and resource (hot search from weibo). It is distinct enough from siblings, though it does not explicitly clarify that this is the top-level list vs detail/comment.

    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 information about when to use this tool instead of the sibling tools, nor any usage context such as prerequisites or limitations.

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

  • Behavior3/5

    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 transparently warns that the word may not be found, which is a useful behavioral trait. However, it does not disclose what 'detail' includes, whether it returns an error or empty result, or any other side effects. It adds some value but lacks comprehensive context.

    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 sentences, front-loaded with the primary purpose in the first sentence and a supplementary behavioral note in the second. Every word earns its place, with no fluff or redundancy. Excellent conciseness and structure.

    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?

    For a simple 1-parameter get tool, the description is mostly complete: it states the action, resource, and scope, and even prepares the user for a common failure case. Since there is no output schema, it could benefit from clarifying what 'detail' contains, but for a low-complexity tool, this is a minor gap rather than a critical omission.

    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 input schema has one parameter, 'word', with a description 'The word to search for.' The tool description also mentions 'by word,' but adds no additional meaning beyond the schema. Since schema description coverage is 100%, the baseline score of 3 applies; neither the schema nor the description provides extra semantic richness.

    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 'Get hot search detail by word from weibo' clearly states the action (get), resource (hot search detail), and scope (by word). This distinguishes it from sibling tools like WeiboGetHotSearch (likely a list) and WeiboGetHotSearchCommentByUrl (comments), making the purpose unambiguous.

    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 description implies when to use this tool: when you have a specific word to look up in Weibo hot searches. It also provides an important usage note: 'Sometimes the word is not found, that's normal,' setting expectations for missing results. However, it does not explicitly mention alternatives or when not to use it, leaving room for clearer differentiation.

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

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

weibo-mcp-server MCP server

Copy to your README.md:

Score Badge

weibo-mcp-server MCP server

Copy to your README.md:

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/Yooki-K/weibo-mcp-server'

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