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mambalabsdev

mcp-meta-brand-presence-mapper

by mambalabsdev
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JavaScript
Remote

Server Quality Checklist

75%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion between tools. The sole tool has a clear, singular purpose of mapping a domain to Meta platform accounts.

    Naming Consistency5/5

    The tool name follows a consistent verb_noun pattern ('map_meta_brand_presence'), which is descriptive and predictable, though there is only one example to assess.

    Tool Count3/5

    A single tool feels thin for a server, even if the task is narrowly focused. The server could benefit from splitting functionality (e.g., separate tools for Instagram, Threads, Facebook) or adding related capabilities, but the count is not unreasonable for a dedicated mapper.

    Completeness4/5

    The tool covers the core workflow of resolving a domain to social accounts and retrieving follower/post counts, with a noted limitation on Facebook due to login walls. However, it handles this limitation explicitly, so the surface is functionally complete for its stated purpose, though slightly constrained by external factors.

  • Average 5/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • No commit activity data available
    • 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.

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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

  • Behavior5/5

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

    Beyond the readOnly/idempotent annotations, the description discloses several non-obvious behaviors: Threads handle is derived from Instagram at no extra cost, counts are rounded by Meta and include both integer and display string, Facebook is best-effort with login walls making 'blocked' a normal response, and each call consumes Apify credits. These are significant operational details an agent needs.

    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 dense yet well-organized: the main purpose is stated first, followed by platform-specific caveats, then parameter behavior and operational constraints. Every sentence adds information and none are redundant with the schema or annotations. It is appropriately sized for the tool's complexity.

    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?

    Despite having no output schema, the description explains the output format (flat Clay row, rounded counts, display strings), failure modes (Facebook 'blocked'), and prerequisites (APIFY_TOKEN, credits). It also covers pricing implications and caching semantics, making it fully self-sufficient for an agent to call correctly.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters5/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Although schema coverage is 100%, the description adds valuable context: the handle is used for both Instagram and Threads ('5 of 5 measured'), platforms can be pruned to reduce cost, cache duration is seven days, and includeFollowerCounts trades completeness for speed and proxy freedom. This goes well beyond the schema's property descriptions.

    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 opens with a specific verb and resource: "Resolve a company domain to its Instagram, Threads and Facebook accounts with follower and post counts, as one flat Clay ready row." It clearly states what the tool produces and differentiates its behavior for each platform, leaving no ambiguity about its function.

    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?

    Though there are no sibling tools, the description provides detailed guidance on when to use specific options: supplying a handle skips discovery, dropping Facebook is common due to unreliability, includeFollowerCounts=false is cheaper and needs no proxy, and skipCache forces fresh fetches. This qualifies as clear usage context and decision support.

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

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