[Results] Get test result details by ID.
AI agents call results_get to retrieve information from CyPerf MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves existing test result data by identifier. It performs a query/fetch operation with no side effects, state changes, or ability to modify, delete, or execute operations. The action is purely informational and read-only.
From the tool's definition Tool name 'results_get' and description 'Get test result details by ID' indicate a retrieval operation with no modification or execution of external operations.
Attacks that exploit this kind of access
[Results] Get test result details by ID. It is categorised as a Read tool in the CyPerf MCP Server MCP Server, which means it retrieves data without modifying state.
Register the CyPerf MCP Server MCP server in PolicyLayer and add a rule for results_get: 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 CyPerf MCP Server. Nothing to install.
results_get 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 results_get 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 results_get. 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.
results_get is provided by the CyPerf MCP Server MCP server (keysight/cyperf-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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