Get detailed explanation of a Monti APM metric including definition, formula, interpretation, and optimization tips. Available metrics include: responseTime, observerReuse, waitTime, dbTime, throughput, subRate, and more.
AI agents call explain_metric to retrieve information from Monti APM MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about APM metrics (definition, formula, interpretation, optimization tips). It has no capacity to create, modify, execute code, delete data, or affect financial systems. The blast radius of misuse is minimal—an AI agent cannot cause harm by requesting explanations of performance metrics. This is purely informational retrieval.
From the tool's definition Tool retrieves and explains existing Monti APM metrics without modifying, executing, or deleting anything. The description explicitly states 'Get detailed explanation' which is a read operation. No side effects or state changes occur.
Attacks that exploit this kind of access
Get detailed explanation of a Monti APM metric including definition, formula, interpretation, and optimization tips. Available metrics include: responseTime, observerReuse, waitTime, dbTime, throughput, subRate, and more. It is categorised as a Read tool in the Monti APM MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Monti APM MCP Server MCP server in PolicyLayer and add a rule for explain_metric: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Monti APM MCP Server. Nothing to install.
explain_metric is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the explain_metric rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for explain_metric. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
explain_metric is provided by the Monti APM MCP Server MCP server (quavedev/montiapm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →