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Konnexx-Software-Developers

Konnexx Development MCP Server

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verify_mcp_servers

Run a workflow that checks MCP connectivity across Context7, GitHub, Filesystem, Database, and Browser servers. Diagnose integration failures to identify which MCP server is malfunctioning.

Instructions

Execute workflow to verify all MCP servers are working (Context7, GitHub, Filesystem, Database, Browser). Use this to test MCP connectivity and diagnose issues.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

There are no annotations, so the description carries full burden for behavioral disclosure. The description says it 'executes a workflow' and 'diagnoses issues' but doesn't disclose what the workflow actually does, whether it performs mutations (like running tests that could fail), what side effects occur, or what constitutes 'success.' For a 0-parameter tool that runs a multi-server verification, this is thin 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 two sentences—the first states the purpose and scope, the second clarifies usage intent. It's efficient with zero filler words. It could arguably be even more explicit about diagnostic behavior, but structurally it's tight 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.

Completeness4/5

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

For a 0-parameter, no-output-schema tool, the description does a reasonable job. It names the five servers being verified, which is genuinely useful. The main gap is that the description doesn't suggest what output or actions an agent should expect after invocation (e.g., what diagnose results might look like), but given the tool's simplicity, this is minor.

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 0 parameters and 100% schema coverage (trivially, as there are no parameters). With no parameters to document, the baseline is 4. The description appropriately doesn't waste space inventing parameter documentation, and the listed servers provide context about scope.

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?

Description clearly states the verb (verify/execute workflow), the resource (MCP servers), and enumerates the specific servers (Context7, GitHub, Filesystem, Database, Browser). It distinctly names the testing/diagnosis purpose, differentiating it from the sibling tools which are all about tickets, ERDs, requirements, implementation, etc.

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 states when to use it ('test MCP connectivity and diagnose issues') which gives clear context. However, it does not explicitly exclude alternatives or note when not to use it. The siblings are semantically very different so the contrast is implicit, but there's no explicit when/not guidance.

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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