Report how many tokens, dollars, and minutes perceptdot/core saved this session.
AI agents call percept_roi_summary to retrieve information from Perceptdot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and reports metrics (tokens saved, dollars saved, minutes saved) from the current session. It is a read-only reporting function that retrieves existing summary data. There are no creation, modification, deletion, code execution, or financial transaction capabilities. The tool has minimal blast radius—returning incorrect metrics causes no system damage or irreversible changes.
From the tool's definition Tool name 'percept_roi_summary' and description 'Report how many tokens, dollars, and minutes perceptdot/core saved this session' indicate retrieval of session metrics and ROI data without modification or side effects.
Attacks that exploit this kind of access
Report how many tokens, dollars, and minutes perceptdot/core saved this session. It is categorised as a Read tool in the Perceptdot MCP Server, which means it retrieves data without modifying state.
Register the Perceptdot MCP server in PolicyLayer and add a rule for percept_roi_summary: 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 Perceptdot. Nothing to install.
percept_roi_summary 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 percept_roi_summary 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 percept_roi_summary. 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.
percept_roi_summary is provided by the Perceptdot MCP server (perceptdot/percept). 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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