Summarize an email and store assistant memory.
AI agents call summarize_email to retrieve information from AIOS Co-Founder MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves email data for analysis and stores the result in assistant memory (a read-side effect). It does not create, modify, delete, or execute external operations on emails or other systems. The operation is non-destructive and has no financial impact. While storing assistant memory is a form of data write, the primary function and risk is reading/accessing email content, which is the dominant action.
From the tool's definition Tool name is 'summarize_email' and description states it will 'Summarize an email and store assistant memory.' Summarization is a read operation that retrieves and processes email content without modifying or deleting the original email.
Attacks that exploit this kind of access
Summarize an email and store assistant memory. It is categorised as a Read tool in the AIOS Co-Founder MCP MCP Server, which means it retrieves data without modifying state.
Register the AIOS Co-Founder MCP server in PolicyLayer and add a rule for summarize_email: 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 AIOS Co-Founder MCP. Nothing to install.
summarize_email 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 summarize_email 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 summarize_email. 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.
summarize_email is provided by the AIOS Co-Founder MCP server (varun-b-nagaraj/python-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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