This record as markdown: /tools/dev-avakit-avalanche/icm-state.md
What icm_state does on Avalanche
AI agents call icm_state to retrieve information from Avalanche without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why icm_state is rated Low
Tool reports state information about L1s, a read-only operation.
From the tool's definition Report each L1
Attacks that exploit this kind of access
The rule that runs icm_state safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Avalanche, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For icm_state, this is the rule to start with:
icm_state 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 Avalanche, apply this rule, and every icm_state call is checked against it from then on.
Questions about icm_state
Report each L1. It is categorised as a Read tool in the Avalanche MCP Server, which means it retrieves data without modifying state.
Register the Avalanche MCP server in PolicyLayer and add a rule for icm_state: 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 Avalanche. Nothing to install.
icm_state 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 icm_state 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 icm_state. 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.
icm_state is provided by the Avalanche MCP server (@avakit/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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