Resolves an incident by setting its state to 'Resolved' and adding resolution notes.
AI agents use resolve_incident to create or update resources in Snow — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Snow environment.
The tool modifies incident state and adds resolution notes, which are write operations that change data but remain reversible (an incident can be reopened or modified if needed). While it affects business processes, it does not delete data, execute arbitrary code, or commit financial transactions.
From the tool's definition Tool description states it 'Resolves an incident by setting its state to 'Resolved' and adding resolution notes' - this modifies the incident record's state and adds data, which are reversible write operations.
Documented attack patterns abuse exactly the kind of access resolve_incident gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Snow, and nothing reaches the server without passing your rules. This is the rule we recommend for resolve_incident:
{
"version": "1",
"default": "deny",
"tools": {
"resolve_incident": {
"limits": [
{
"counter": "resolve_incident_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} resolve_incident 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.
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Resolves an incident by setting its state to 'Resolved' and adding resolution notes. It is categorised as a Write tool in the Snow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Snow MCP server in PolicyLayer and add a rule for resolve_incident: 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 Snow. Nothing to install.
resolve_incident 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 resolve_incident 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 resolve_incident. 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.
resolve_incident is provided by the Snow MCP server (shunyaai/snow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Snow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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88 Snow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.