trace_keyword_usage
AI agents call trace_keyword_usage 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.
The naming pattern and server context indicate this tool traces or queries keyword usage patterns within indexed Robot Framework/Python files. Tracing usage is a read operation that retrieves data from the SQLite metadata store without modifying or executing code.
From the tool's definition Tool name 'trace_keyword_usage' with empty description suggests querying/analyzing keyword relationships in Robot Framework files.
Attacks that exploit this kind of access
trace_keyword_usage. 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 trace_keyword_usage: 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.
trace_keyword_usage 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 trace_keyword_usage 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 trace_keyword_usage. 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.
trace_keyword_usage 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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