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signnow

SignNow API Helper MCP

Official
by signnow
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Python
Local

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.1.0

  • Disambiguation5/5

    Only one tool exists, so there is no possibility of confusion between tools. The tool clearly describes its purpose of retrieving SignNow API documentation.

    Naming Consistency5/5

    The single tool follows a consistent verb_noun naming convention (get_signnow_api_info), which is clear and predictable.

    Tool Count1/5

    With only one tool serving as documentation, the server feels extremely thin for the stated purpose. A single trivial tool is at the extreme low end of the scale.

    Completeness1/5

    The server provides only documentation and no actual API interaction tools, leaving significant gaps for any real SignNow workflow (e.g., document creation, signing, etc.). It is severely incomplete as an API helper.

  • Average 3.3/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • Last stable release on
    • 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.

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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

  • Behavior2/5

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

    No annotations are provided, so the description carries the full burden of behavioral disclosure. It indicates the tool is for looking up documentation (implying read-only), but it does not describe return format, pagination, rate limits, or any other behavioral traits. The description is too thin to be transparent.

    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 short sentences, front-loaded with the primary action and resource. Every sentence contributes meaningful context, with no redundancy or filler. It is appropriately concise for a simple lookup tool.

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

    Completeness3/5

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

    Given the tool's low complexity (one parameter) and the presence of an output schema, the description need not explain return values. However, it lacks any detail about what kind of API information can be queried or how the documentation is structured. It is minimally complete but leaves room for clarification.

    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%, with the 'query' parameter already described as 'Query string to search for API information'. The description adds no additional parameter semantics, but with full schema coverage, the baseline of 3 is appropriate.

    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 uses a specific verb ('Get') and resource ('SignNow API'), and clarifies that it provides API usage documentation. It effectively communicates the tool's scope, though it is somewhat broad ('information' could be more specific). No sibling tools exist, so differentiation isn't applicable.

    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 implies usage for retrieving API documentation via a query string, but does not provide explicit guidance on when to use it versus alternatives, nor any exclusions or prerequisites. The context is clear but only implied from 'documentation for API 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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  • 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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