PatternFly MCP Server
Server Quality Checklist
Latest release: v1.1.0
- Disambiguation2/5
usePatternFlyDocs and fetchDocs both accept a urlList and return documentation content, creating ambiguity about which to use for direct URL fetching. While usePatternFlyDocs is positioned as the entry point for answering questions, its ability to fetch specific URLs overlaps significantly with fetchDocs.
Naming Consistency5/5Both tool names follow a consistent verb_noun camelCase pattern (use + PatternFlyDocs, fetch + Docs), making the naming predictable and consistent.
Tool Count3/5At only two tools, the server is on the low end of tool counts. While the two tools could theoretically cover the documentation workflow, the set feels thin and relies heavily on one tool's massive description for navigation.
Completeness4/5The server covers the core workflow of finding and fetching PatternFly documentation, with an extensive embedded list of URLs. However, there is no dedicated search or query tool, and the reliance on manual URL selection in prompts may create dead ends for unexpected questions.
Average 3.9/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- No commit activity data available
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
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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?
No annotations are present, so the description carries the full burden. It explains that the tool fetches documentation content from provided URLs and that the URL list points to .md files. However, it does not disclose return format, error behavior, rate limits, or security considerations, leaving some behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The prose is concise and organized with numbered steps. The large URL list is necessary data rather than unnecessary verbosity. The purpose is front-loaded, and the instructions are actionable, making the overall structure effective despite the length.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has one parameter and no output schema, but the description explains the complete retrieval workflow: choose URL from list, call tool, analyze resulting .md file, then fetch specific pages. It clearly scopes the tool to PatternFly docs, and while it does not describe output format, the content-fetching behavior is self-evident.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already describes urlList as 'The list of urls to fetch the documentation from' (100% coverage), so baseline is 3. The description adds significant guidance: how to select the most suitable URL from the list, wrap a single URL in an array, and use iterative calls to fetch specific pages. This goes beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'You must use this tool to answer any questions related to PatternFly components or documentation,' which clearly defines its purpose with a specific resource. It also provides a curated list of documentation URLs, distinguishing it as a PatternFly-specific docs tool, though it does not directly compare with the sibling tool fetchDocs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly instructs when to use the tool ('You must use this tool to answer any questions related to PatternFly'), and provides a numbered workflow for selecting URLs, passing them to urlList, and subsequently fetching specific pages. It does not mention when to use an alternative like fetchDocs, but the mandatory language gives clear usage context.
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 provided, the description carries the full burden for behavioral disclosure. It only says 'Fetch documentation' and does not describe potential failures, network behavior, side effects, or return format. The read-only nature is implied but not explicitly stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences and 22 words, front-loading the core purpose and then directly pointing to the urlList argument. Every sentence earns its place with no unnecessary detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a low-complexity tool with a single parameter fully described in the schema. The description covers purpose, source of URLs, and the argument name. However, the absence of an output schema and no mention of error handling or return format prevent a perfect score.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the baseline is 3. The description adds value by specifying that the URLs should be 'extracted from previous tool calls responses,' which guides the agent on how to populate the urlList array beyond the schema's generic 'list of URLs'.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Fetch documentation') and clearly identifies the resource (one or more URLs) and their source (previous tool calls responses). This distinguishes it from the sibling tool usePatternFlyDocs, which likely targets a specific documentation set.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description states when to use the tool: when there are URLs extracted from previous tool call responses. It gives clear context and an input constraint, but it does not explicitly contrast with usePatternFlyDocs or provide exclusion criteria.
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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