Resume a previously saved reasoning session.
AI agents call deep_resume to retrieve information from Deep Reasoning without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and restores a previously saved session state. It reads stored session data to allow continuation of prior analysis. No data is created, modified, deleted, or executed — it simply loads existing state. The sibling tools (deep_save_session, deep_delete_session) handle write/destructive operations, while this tool only retrieves and restores.
From the tool's definition Resume a previously saved reasoning session
Attacks that exploit this kind of access
Resume a previously saved reasoning session. It is categorised as a Read tool in the Deep Reasoning MCP Server, which means it retrieves data without modifying state.
Register the Deep Reasoning MCP server in PolicyLayer and add a rule for deep_resume: 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 Deep Reasoning. Nothing to install.
deep_resume 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 deep_resume 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 deep_resume. 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.
deep_resume is provided by the Deep Reasoning MCP server (mauriziomocci/deep-reasoning-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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