Low Risk

analyzeQueryPerformance

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

How to control analyzeQueryPerformance ↓

What analyzeQueryPerformance does on AWS Labs AWS For SAP Management MCP Server

AI agents call analyzeQueryPerformance to retrieve information from AWS Labs AWS For SAP Management 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 retrieves and analyzes performance metrics of CQL queries without modifying, deleting, or executing arbitrary code. It is a diagnostic/inspection tool that reads characteristics of queries. No side effects, no data modification, no command execution—purely analytical. This fits the 'Read' category of query inspection tools.

From the tool's definition Tool name 'analyzeQueryPerformance' and description 'Analyzes the performance characteristics of a CQL query' indicate a query analysis operation. Arguments are 'keyspace' and 'query', which are inputs for analysis rather than data modification or deletion.

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 Labs AWS For SAP Management 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 Labs AWS For SAP Management 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 Labs AWS For SAP Management MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyzeQueryPerformance? +

Register the AWS Labs AWS For SAP Management 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 Labs AWS For SAP Management 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 Labs AWS For SAP Management MCP Server MCP server (awslabs.aws-for-sap-management-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 Labs AWS For SAP Management MCP Server tool call.

Start from AWS Labs AWS For SAP Management 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 Labs AWS For SAP Management MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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