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driosalido
by driosalido

check_karma

Verify connectivity to the Karma Alert dashboard for monitoring Kubernetes alerts. This tool confirms the server connection is active before accessing alert data.

Instructions

Check connection to Karma server

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • Implementation of the `check_karma` MCP tool, which performs an HTTP GET request to the Karma health endpoint to verify the server status.
    @mcp.tool()
    async def check_karma() -> str:
        """Check connection to Karma server"""
        try:
            async with httpx.AsyncClient() as client:
                response = await client.get(f"{KARMA_URL}/health")
                if response.status_code == 200:
                    return f"✓ Karma is running at {KARMA_URL}"
                else:
                    return f"⚠ Karma responded with code {response.status_code}"
        except Exception as e:
            return f"✗ Error connecting to Karma: {str(e)}"
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 states the action but doesn't explain what 'check connection' entails—e.g., whether it performs a ping, validates authentication, returns status details, or has side effects like logging. This leaves significant gaps in understanding the tool's behavior.

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, clear sentence with zero waste—it directly states the purpose without unnecessary words. It's appropriately sized and front-loaded, making it highly efficient for an agent to parse.

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 the tool's simplicity (0 parameters, no annotations, but with an output schema), the description is minimally adequate. It states what the tool does but lacks details on behavior, output, or integration with siblings. The output schema existence reduces the need to explain return values, but more context on usage would improve completeness.

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 with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter semantics, and it doesn't introduce any confusion, earning a baseline score of 4 for this context.

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?

The description clearly states the action ('Check connection') and target ('to Karma server'), providing a specific verb+resource combination. However, it doesn't differentiate from siblings like 'list_clusters' or 'get_alerts_summary' which might also involve server connectivity, so it misses full sibling distinction.

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 is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, timing, or context for checking server connection relative to other tools that might implicitly test connectivity, leaving the agent with no usage direction.

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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