get_execution_feedback
AI agents call get_execution_feedback to retrieve information from RobotWS MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Given the empty description and the patterns of sibling tools which are all informational/query operations, get_execution_feedback most likely retrieves or queries stored feedback data from the indexed test executions without modifying state. No evidence suggests side effects, destructive operations, or external execution. Classified as Read with moderate confidence due to missing description.
From the tool's definition Tool name 'get_execution_feedback' suggests retrieving execution results or feedback data. The server indexes Robot Framework files and stores metadata in SQLite, providing generation context.
Attacks that exploit this kind of access
get_execution_feedback. It is categorised as a Read tool in the RobotWS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the RobotWS MCP Server MCP server in PolicyLayer and add a rule for get_execution_feedback: 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 RobotWS MCP Server. Nothing to install.
get_execution_feedback 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 get_execution_feedback 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 get_execution_feedback. 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.
get_execution_feedback is provided by the RobotWS MCP Server MCP server (stella555359/robotws_mcp_server). 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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