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Neel-XV

FastMCP MCP Server

by Neel-XV
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Python
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Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool performs a unique, clearly defined function with no overlap between arithmetic, web fetching, and documentation search. An agent would have no difficulty selecting the appropriate tool.

    Naming Consistency4/5

    Tool names are short, lowercase, and mostly follow a verb_noun pattern (fetch_page, search_docs). The lone exception is 'add', which is a bare verb, but it is still clear and consistent in style.

    Tool Count4/5

    With only 3 tools, the server is on the lighter side, but the small set is still reasonable for a general-purpose utility server. Each tool earns its place, though the collection feels somewhat sparse.

    Completeness2/5

    The tools are unrelated to a single coherent domain, making it difficult to assess what complete coverage would look like. There are no obvious lifecycle operations (e.g., update or delete) and the set appears to be a collection of unconnected utilities, leaving significant gaps for any specific purpose.

  • Average 3.7/5 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

  • Add a LICENSE file by following GitHub's guide. Once GitHub recognizes the license, the system will automatically detect it within a few hours.

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

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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 provided, the description carries the full burden of behavioral disclosure. It only states that the tool searches documentation, but does not disclose whether it is read-only, how results are returned, or any error conditions. This is minimal.

    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 sentence front-loaded with the action and resource, followed by a brief args section. No wasted words.

    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?

    The tool is simple with one parameter and an output schema, so the description is adequate for basic invocation, but it lacks usage guidelines and behavioral details. It is minimal but not insufficient.

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

    Parameters2/5

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

    The input schema has a single required parameter 'query' with 0% description coverage. The description adds only 'The search query,' which is redundant with the parameter name and provides no additional semantic value away from what the schema implies.

    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 uses the specific verb 'Search' with the resource 'FastMCP documentation', clearly distinguishing it from siblings like 'add' and 'fetch_page'. The scope is unambiguous.

    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, such as fetch_page. No context or exclusions are mentioned.

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

  • Behavior2/5

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

    With no annotations, the description carries full burden for behavioral disclosure. It only states the action and output format, omitting details about the external Jina Reader dependency, potential errors, rate limits, authentication, or any side effects. Lacks depth beyond basic functionality.

    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 compact: a clear purpose statement followed by an Args list. No redundant text, well-structured, and every sentence contributes. It is appropriately sized for the tool's simplicity.

    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?

    The tool is simple with one required parameter, and an output schema exists, so return values need not be explained. However, the description lacks usage guidance and behavioral context (e.g., Jina Reader's limitations), preventing a perfect score. Still, it is reasonably complete for a basic fetch operation.

    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 0%, so the description must compensate. It provides a one-line description of 'url' as 'The URL of the page to fetch,' adding semantic meaning beyond the schema's bare string type. This is adequate for a single obvious parameter but not elaborate.

    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 'fetches the content of a web page as markdown' using Jina Reader. This is a specific verb+resource combination that distinguishes it from the unrelated siblings 'add' and 'search_docs'.

    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 when a web page's markdown content is needed, but it does not explicitly state when to use it versus alternatives. No exclusions or alternative tool mentions are provided, so guidance is only implicit.

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

  • Behavior5/5

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

    With no annotations provided, the description carries the full burden of disclosure. 'Add two numbers' completely and accurately describes the tool's behavior: it is a pure function with no side effects, no destructive actions, and no hidden complexity. The simplicity of the operation makes the description fully 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 a single, concise sentence that gets straight to the point. It is appropriately sized for the tool's simplicity, with no wasted words or irrelevant information.

    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?

    Given the extreme simplicity of the tool and the presence of an output schema, the description is complete. It covers the operation, the parameters are straightforward, and sibling tools are clearly unrelated, so no additional context is needed.

    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 0% of parameter descriptions, so the tool description must compensate. 'Add two numbers' confirms that both a and b are the operands for the operation, adding some semantic context. However, it does not explicitly describe the return value or edge cases, relying on the output schema for those details.

    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's function: adding two numbers. It uses a specific verb (add) and resource (two numbers), making it easily distinguishable from sibling tools like fetch_page and search_docs, which serve entirely different purposes.

    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 when to use the tool (whenever addition of two numbers is needed) but provides no explicit guidance on alternatives or conditions. Sibling tools are clearly unrelated, so the context is clear, but the description could be more explicit about its scope.

    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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