MCP Hub MCP Server

Server Quality Checklist

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Latest release: v1.3.1
Disambiguation3/5
The tools have overlapping purposes that could cause confusion, particularly between the 'find-tools', 'find-tools-in-server', 'list-all-tools', and 'list-all-tools-in-server' tools, which all serve similar discovery functions with subtle distinctions. However, the descriptions help clarify their specific use cases, such as 'find-tools' for keyword searches versus 'list-all-tools' for comprehensive listings, preventing complete misselection.
Naming Consistency4/5
The tool names follow a consistent verb_noun pattern with hyphens (e.g., 'call-tool', 'find-tools'), making them predictable and readable. There is a minor deviation with 'list-servers' using a plural noun where others use singular or plural inconsistently, but overall the naming convention is clear and uniform across the set.
Tool Count5/5
With 7 tools, the count is well-scoped for the server's purpose of managing and discovering MCP tools and servers. Each tool serves a distinct role in the workflow, from discovery to execution, and none feel redundant or unnecessary, fitting the typical range of 3-15 tools for such a utility server.
Completeness5/5
The tool set provides complete coverage for the domain of MCP tool and server management, including discovery (e.g., 'find-tools', 'list-servers'), retrieval (e.g., 'get-tool'), and execution (e.g., 'call-tool'). There are no obvious gaps; agents can navigate from listing servers to finding and calling tools without dead ends.
Average 3.8/5 across 7 of 7 tools scored. Lowest: 3.1/5.
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 December 4, 2025
- 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.
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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 must fully disclose behavior. It only states the limited return (name and description), but does not mention regex syntax, case sensitivity handling (detailed in schema), error behavior, or performance implications. Lacks critical behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that conveys the core purpose efficiently. However, it is somewhat sparse and could include more context without becoming verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 4 parameters, 2 required, and no output schema, the description is incomplete. It does not specify return value structure (e.g., array of objects), error conditions, or behavior when no match found. The absence of output schema makes this a significant gap.
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 coverage is 100%, so the baseline is 3. The description adds no extra meaning beyond what the schema's property descriptions already provide. It does not clarify the regex pattern format or default behavior beyond the schema's default values.
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 specific verb 'find' and resource 'tools in a specific MCP server', and explicitly notes the limited return ('name and description only'). This distinguishes it from siblings like 'get-tool' (single tool details) or 'list-all-tools-in-server' (no pattern matching).
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 pattern-based searching within a server, but provides no guidance on when to choose this over alternatives like 'find-tools' (possibly across servers) or 'list-all-tools-in-server' (no pattern). No exclusion or alternatives 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 provided, the description carries the full burden of behavioral disclosure. It only states the listing action without revealing whether results are cached, live, or any other behavioral traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words. It could benefit from additional detail but remains appropriately concise for a simple listing 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 no output schema and no parameters, the description is adequate but does not explain the return format or any filtering. For a list tool, this is minimally viable.
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 tool has no parameters and the schema coverage is 100%. Baseline 4 applies because the description adds no parameter details but none are needed.
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 'List all connected MCP servers' uses a specific verb ('list') and resource ('connected MCP servers'), clearly distinguishing it from sibling tools like list-all-tools which list tools.
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?
No guidance on when to use this tool versus siblings like list-all-tools or call-tool. The description only states what it does, not when it is appropriate.
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 must disclose behavior. It only says 'find best tools' without explaining what 'best' means, how results are returned, or any limitations. This is insufficient for a search tool.
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 sentences, front-loaded with purpose and a usage hint. Every word earns its place; no waste. Perfectly concise.
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 3 parameters, no output schema, and no annotations, the description should at least mention what the tool returns (e.g., a list of tool names). It omits this, leaving the agent guessing. Adequate but with clear gaps.
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 coverage is 100% with descriptions for all three parameters. The description adds no additional meaning beyond the schema, so baseline 3 applies. It mentions 'keywords or regex patterns' which maps to the pattern parameter, but doesn't enhance understanding of enum options or defaults.
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 purpose: to find tools by searching with keywords or regex patterns. It distinguishes from siblings like list-all-tools (which lists all) and get-tool (which retrieves a specific tool) by framing it as a discovery tool.
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?
The description advises using the tool when you don't have a specific tool for a task, providing clear context. However, it does not explicitly exclude cases or mention alternatives like list-all-tools for a full inventory.
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?
No annotations are provided, so the description must cover behavioral traits. It only states 'call a tool' without mentioning that the call executes the tool, potential side effects, authentication needs, or rate limits. This is minimal for a meta-tool that could trigger arbitrary actions.
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 plus a tip, which is very concise and front-loaded. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema or annotations, the description fails to explain return values, error handling, or execution behavior. For a tool that calls other tools, the description is incomplete for an agent to understand what to expect.
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 coverage is 100%, so the schema already describes the parameters. The description adds a helpful tip about using find-tools for correct values, but does not elaborate on the format or semantics of toolArgs or how to construct the object.
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 that the tool calls a specific tool from a specific server, using a specific verb ('Call') and resource. It distinguishes from sibling tools like find-tools which are for discovery.
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?
The description explicitly advises to use find-tools first to discover the correct serverName and toolName, providing clear guidance on when to use this tool versus an alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses that the tool returns only name and description, which is helpful beyond the input schema. However, it does not explicitly state that the operation is read-only or non-destructive, nor does it mention any prerequisites or potential errors.
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?
A single, well-structured sentence of 13 words. It front-loads the main action and clarifies the return content in parentheses. Every word carries weight, with no redundancy.
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?
Given the tool's low complexity (1 param, no output schema), the description is fairly complete: it states the action, scope, and return format. It lacks mention of error handling or performance, but for a simple listing tool, this is adequate.
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 coverage is 100% for the single parameter 'serverName' with a clear description. The tool description adds no additional meaning beyond the schema, so the baseline of 3 is appropriate.
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 a specific verb 'List' and resource 'tools from a specific MCP server', clearly distinguishing from siblings like 'list-all-tools' (likely cross-server) and 'find-tools-in-server' (likely filtered). The scope is precise: ALL tools, and it notes the return includes only name and description.
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 use when you need a complete listing from one server, but it does not explicitly state when not to use it or suggest alternatives like 'find-tools-in-server' for filtering. The context from sibling names helps, but the description itself lacks explicit guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It states 'Get complete schema', implying a read operation without side effects, but does not disclose auth needs, rate limits, or return format. Adequate for a simple retrieval but lacks depth.
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?
Two concise sentences with no wasted words. Purpose is front-loaded, and the TIP is placed at the end for easy reference.
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?
Though no output schema exists, the description explains the return ('complete schema... including inputSchema'), which is sufficient for an agent. Sibling tools provide context. Minor improvement could specify the exact return structure.
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 coverage is 100% with clear parameter descriptions ('Exact name of the tool', 'Name of the MCP server'). The description adds no extra parameter meaning beyond the schema, so baseline of 3 is appropriate.
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?
Description clearly states 'Get complete schema for a specific tool from a specific server, including inputSchema', using specific verb+resource. It distinguishes from siblings like call-tool (invocation) and find-tools (discovery).
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?
Explicit TIP provides guidance: 'Use find-tools first to discover the tool and get the correct serverName and toolName', telling the agent when to use this tool and suggesting an alternative prerequisite tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. Description is straightforward but doesn't disclose read-only nature or any rate limits. Simple operation, so transparency is adequate but not enhanced beyond necessity.
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?
Two sentences: first states action, second provides performance advice. Front-loaded and concise with no wasted words.
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 zero parameters, no output schema, and low complexity, the description is complete. It covers what the tool does and how to use it effectively.
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?
No parameters exist (0 params). Baseline 4 applies. Description is sufficient as no parameter details are needed.
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 it lists ALL tools from ALL connected servers. It distinguishes from sibling tools like find-tools (keyword-based) and list-all-tools-in-server (server-specific), using specific verb+resource.
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?
Provides explicit guidance: use find-tools first for performance, only use list-all-tools when necessary or when find-tools fails. This tells when to use and when to avoid.
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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