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ntk148v

alertmanager-mcp-server

get_status

Check the current operational status and cluster health of an Alertmanager instance to monitor alerting system availability.

Instructions

Get current status of an Alertmanager instance and its cluster

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The get_status tool handler, decorated with @mcp.tool for automatic registration in FastMCP. It fetches the Alertmanager status by making a GET request to /api/v2/status via the shared make_request helper.
    @mcp.tool(description="Get current status of an Alertmanager instance and its cluster")
    async def get_status():
        """Get current status of an Alertmanager instance and its cluster
    
        Returns
        -------
        dict:
            The response from the Alertmanager API. This is a dictionary
            containing the response data.
        """
        return make_request(method="GET", route="/api/v2/status")
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states this is a 'Get' operation, implying read-only behavior, but doesn't disclose any behavioral traits like authentication needs, rate limits, error conditions, or what 'status' includes (e.g., health, configuration). This leaves significant gaps for a tool with zero annotation coverage.

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, efficient sentence that directly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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 annotations, no output schema, and a simple zero-parameter tool, the description is incomplete. It doesn't explain what 'status' entails (e.g., returns health metrics, cluster info), potential outputs, or behavioral context, leaving the agent with insufficient information to use the tool effectively beyond its basic function.

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 input schema has 0 parameters with 100% coverage, meaning there are no parameters to document. The description doesn't need to add parameter semantics, so it meets the baseline of 4 for tools with no parameters, as it doesn't have to compensate for any gaps.

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 ('Get current status') and target ('Alertmanager instance and its cluster'), providing specific verb+resource. However, it doesn't differentiate from sibling tools like 'get_alert_groups' or 'get_alerts' which also retrieve information but about different resources, so it doesn't fully distinguish from alternatives.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context for usage, or compare it to sibling tools like 'get_alerts' or 'get_alert_groups', leaving the agent with no usage direction beyond the basic purpose.

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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