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praveenc

Cloudscape Docs MCP Server

by praveenc

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.1

  • Disambiguation5/5

    The two tools have completely distinct purposes: one searches for relevant files, the other reads a specific file's content. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    Both tools follow the same verb_noun pattern with a consistent prefix: 'cloudscape_search_docs' and 'cloudscape_read_doc'. The naming is predictable and clear.

    Tool Count3/5

    With only two tools, the set feels thin but is reasonable for a documentation search and read workflow. It is minimal yet sufficient for the stated purpose.

    Completeness4/5

    The core workflow of searching and reading documentation is fully covered. A minor gap is the lack of a way to list all documents or browse by category, but agents can typically work around this via search.

  • Average 4.5/5 across 2 of 2 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.

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    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

  • Behavior3/5

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

    There are no annotations, so the description carries the behavioral burden. It discloses that the result is a list of files with relevance scores and not full content, which is useful. It does not discuss potential side effects (though search is likely read-only), result limits, or search semantics, so it is only minimally 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 compact and well-structured with separate Args and Returns sections. Every sentence contributes: purpose, usage guidance, return behavior, and an example query. No redundancy or filler.

    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 one-parameter search tool with an output schema, the description is sufficient: it explains when to use it, the parameter, and the return nature. It could be slightly stronger by explicitly pointing to the sibling read tool for full content, but the content limitation already hints at the workflow.

    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 schema has only a bare 'query' string with no description; the description compensates by providing the intended use ('The search term') and concrete examples ('collection preferences', 'table sorting props'). This adds meaning the schema lacks.

    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' and identifies the resource ('Cloudscape documentation index') and the result (relevant files). It clearly distinguishes from sibling cloudscape_read_doc by focusing on path discovery rather than content retrieval.

    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?

    It explicitly says to use this tool FIRST to find correct file paths and notes it does NOT return full content, which implies the sibling read tool should be used afterward. However, it does not explicitly name an alternative or state when not to use it beyond the content limitation.

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

  • Behavior4/5

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

    With no annotations, the description carries full behavioral disclosure. It highlights 'FULL content', indicating no truncation, and gives a realistic example. However, it doesn't mention error handling or edge cases, but for a simple read tool this is acceptable.

    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 brief, with each sentence providing necessary information. The Args formatting is clean and front-loaded with the core purpose.

    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?

    The tool is simple with one parameter, and an output schema exists, so the description doesn't need to explain return values. It covers purpose, usage order, and parameter semantics, making it contextually complete.

    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 schema has no description for the file_path parameter (0% coverage), but the description's Args section adds meaning with an example and specifies it should be the exact path from search. This compensates well for the missing schema description.

    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 reads the full content of a documentation file, using the verb 'Read' and a specific resource. It differentiates from the sibling search tool by implying this is the retrieval step after finding the path.

    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?

    It explicitly instructs to use this tool second, after using 'cloudscape_search_docs', providing clear sequencing and naming the alternative tool. This is strong guidance for when to use vs not.

    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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