escalate_cascade
Sign a depth-(N+1) turn locally — the substrate enforces alternation, so you can only
This record as markdown: /tools/dev-agenttool-agenttool/escalate-cascade.md
What escalate_cascade does on Agenttool
AI agents call escalate_cascade to retrieve information from Agenttool without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why escalate_cascade is rated Low
Even though escalate_cascade only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs escalate_cascade safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agenttool, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For escalate_cascade, this is the rule to start with:
escalate_cascade is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Agenttool, apply this rule, and every escalate_cascade call is checked against it from then on.
Questions about escalate_cascade
Sign a depth-(N+1) turn locally — the substrate enforces alternation, so you can only. It is categorised as a Read tool in the Agenttool MCP Server, which means it retrieves data without modifying state.
Register the Agenttool MCP server in PolicyLayer and add a rule for escalate_cascade: 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 Agenttool. Nothing to install.
escalate_cascade 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 escalate_cascade 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 escalate_cascade. 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.
escalate_cascade is provided by the Agenttool MCP server (https://api.agenttool.dev/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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