Low Risk

analyzeQueryPerformance

Analyzes the performance characteristics of a CQL query - args: keyspace, query

How to control analyzeQueryPerformance ↓

What analyzeQueryPerformance does on AWS Bedrock AgentCore MCP Server

AI agents call analyzeQueryPerformance to retrieve information from AWS Bedrock AgentCore MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why analyzeQueryPerformance needs a policy

This tool performs query analysis and instrumentation—examining performance metrics without altering data or executing arbitrary operations. It retrieves performance characteristics (read-like diagnostic data) rather than creating, modifying, deleting, or executing code with external side effects. The low severity reflects minimal blast radius if misused; worst case is noisy log output or resource inspection.

From the tool's definition Tool name 'analyzeQueryPerformance' and description 'Analyzes the performance characteristics of a CQL query' indicate a diagnostic read-only operation. Arguments are 'keyspace' and 'query', which are inputs for analysis, not modification.

Documented attack patterns abuse exactly the kind of access analyzeQueryPerformance gives an agent:

How to control analyzeQueryPerformance

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Bedrock AgentCore MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyzeQueryPerformance:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyzeQueryPerformance": {}
  }
}

analyzeQueryPerformance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register AWS Bedrock AgentCore MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about analyzeQueryPerformance

What does the analyzeQueryPerformance tool do? +

Analyzes the performance characteristics of a CQL query - args: keyspace, query. It is categorised as a Read tool in the AWS Bedrock AgentCore MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyzeQueryPerformance? +

Register the AWS Bedrock AgentCore MCP Server MCP server in PolicyLayer and add a rule for analyzeQueryPerformance: 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 AWS Bedrock AgentCore MCP Server. Nothing to install.

What risk level is analyzeQueryPerformance? +

analyzeQueryPerformance is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit analyzeQueryPerformance? +

Yes. Add a rate_limit block to the analyzeQueryPerformance 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.

How do I block analyzeQueryPerformance completely? +

Set action: deny in the PolicyLayer policy for analyzeQueryPerformance. 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.

What MCP server provides analyzeQueryPerformance? +

analyzeQueryPerformance is provided by the AWS Bedrock AgentCore MCP Server MCP server (awslabs.amazon-bedrock-agentcore-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AWS Bedrock AgentCore MCP Server tool call.

Start from AWS Bedrock AgentCore MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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805 AWS Bedrock AgentCore MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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