Update agent execution state. Returns updated workflow_token.
Part of the Agent Workflow Engine server.
Free to start. No card required.
AI agents use track_agent_state to create or modify resources in Agent Workflow Engine. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call track_agent_state repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Agent Workflow Engine.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"track_agent_state": {
"limits": [
{
"counter": "track_agent_state_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Agent Workflow Engine policy for all 5 tools.
These attack patterns abuse exactly the kind of access track_agent_state gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Update agent execution state. Returns updated workflow_token.. It is categorised as a Write tool in the Agent Workflow Engine MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Workflow Engine MCP server in PolicyLayer and add a rule for track_agent_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 Agent Workflow Engine. Nothing to install.
track_agent_state 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 track_agent_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 track_agent_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.
track_agent_state is provided by the Agent Workflow Engine MCP server (https://api.lazy-mac.com/agent-workflow-engine/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 5 Agent Workflow Engine tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.