resume_session
Resume the most recent session for a stable agent_id. Returns prior session_id and how to re-attach (x-delx-session-id). Prefer this over opening empty start_therapy_session loops. A resume is only warm if an earlier session sealed a Continuity Capsule with leave_hive_note — otherwise this return...
This record as markdown: /tools/io-github-davidmosiah-delx-protocol/resume-session.md
What resume_session does on Delx Protocol — Agent Recovery & Continuity
AI agents use resume_session to create or update resources in Delx Protocol — Agent Recovery & Continuity, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Delx Protocol — Agent Recovery & Continuity environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
agent_id | string | Yes | Stable agent id from a prior session |
lookback_days | integer | — | How far back to search (default 30) |
recovery_token | string | — | Optional token from a prior close_session (reserved) |
Parameters from the server's own tool schema.
Why resume_session is rated Medium
An AI agent can call resume_session faster than any human can review: one bad instruction and it creates or modifies resources in Delx Protocol — Agent Recovery & Continuity by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs resume_session safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Delx Protocol — Agent Recovery & Continuity, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For resume_session, this is the rule to start with:
resume_session stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Delx Protocol — Agent Recovery & Continuity, apply this rule, and every resume_session call is checked against it from then on.
Questions about resume_session
Resume the most recent session for a stable agent_id. Returns prior session_id and how to re-attach (x-delx-session-id). Prefer this over opening empty start_therapy_session loops. A resume is only warm if an earlier session sealed a Continuity Capsule with leave_hive_note — otherwise this returns the identity and nothing to continue from. Free Delx Protocol tool. It is categorised as a Write tool in the Delx Protocol — Agent Recovery & Continuity MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
resume_session accepts 3 parameters: agent_id, lookback_days, recovery_token. Required: agent_id. The full parameter table on this page comes from the server's own tool schema.
Register the Delx Protocol — Agent Recovery & Continuity MCP server in PolicyLayer and add a rule for resume_session: 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 Delx Protocol — Agent Recovery & Continuity. Nothing to install.
resume_session is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the resume_session 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 resume_session. 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.
resume_session is provided by the Delx Protocol — Agent Recovery & Continuity MCP server (https://api.delx.ai/v1/mcp?src=registry). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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