Resume a paused or partially-executed chain by id.
AI agents invoke resume_chain to trigger actions in APIClaw. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool resumes execution of a chain (a sequence of API calls or operations) that was previously paused or partially executed. Resuming a chain triggers further external operations whose effects depend on the chain's content and current state. The blast radius is high because an AI agent could inadvertently resume chains that invoke financial, destructive, or other high-impact APIs.
From the tool's definition Resume a paused or partially-executed chain by id
Documented attack patterns abuse exactly the kind of access resume_chain gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and APIClaw, and nothing reaches the server without passing your rules. This is the rule we recommend for resume_chain:
{
"version": "1",
"default": "deny",
"tools": {
"resume_chain": {
"limits": [
{
"counter": "resume_chain_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}resume_chain stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Resume a paused or partially-executed chain by id. It is categorised as a Execute tool in the APIClaw MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the APIClaw MCP server in PolicyLayer and add a rule for resume_chain: 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 APIClaw. Nothing to install.
resume_chain is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the resume_chain 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_chain. 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_chain is provided by the APIClaw MCP server (nordsym/apiclaw). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from APIClaw, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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24 APIClaw tools catalogued and risk-classified — across an index of 43,000+ MCP servers.