Comprehensive analysis of performance bottlenecks across methods, publications, and system resources. Identifies high-priority issues with recommendations. IMPORTANT: Default time range is last 1 hour. For comprehensive analysis, use a wider startTime (e.g., 24 hours or 1 week ago).
AI agents call analyze_performance_bottlenecks 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 Monti APM for performance metrics and bottleneck analysis. There are no side effects: it does not modify application state, delete data, execute arbitrary code, or commit financial transactions. It is a pure retrieval and analysis tool, making it a Read category with low severity. Confidence is high because the description and tool name clearly indicate diagnostic/observational intent.
From the tool's definition The tool performs 'analysis' and 'identifies' issues with 'recommendations' — it retrieves and interprets performance data without modifying, deleting, or executing code.
Attacks that exploit this kind of access
Comprehensive analysis of performance bottlenecks across methods, publications, and system resources. Identifies high-priority issues with recommendations. IMPORTANT: Default time range is last 1 hour. For comprehensive analysis, use a wider startTime (e.g., 24 hours or 1 week ago). 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 analyze_performance_bottlenecks: 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.
analyze_performance_bottlenecks 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 analyze_performance_bottlenecks 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 analyze_performance_bottlenecks. 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.
analyze_performance_bottlenecks 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.
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