Fetch specific JSON error report and automatically fix protocols
AI agents invoke poll_error_endpoint_and_fix to trigger actions in Opentrons MCP Server. 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.
The tool spans Read and Execute/Write categories. Fetching the error report is a Read action, but automatically fixing protocols constitutes executing changes to protocol definitions on the robot. Since fixing protocols modifies operational behavior of a physical robot system and the action is automated/triggered, Execute is the most appropriate category.
From the tool's definition 'automatically fix protocols' — the tool not only fetches error data (Read) but also automatically applies fixes to protocols, triggering external operations on the robot system
Documented attack patterns abuse exactly the kind of access poll_error_endpoint_and_fix gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Opentrons MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for poll_error_endpoint_and_fix:
{
"version": "1",
"default": "deny",
"tools": {
"poll_error_endpoint_and_fix": {
"limits": [
{
"counter": "poll_error_endpoint_and_fix_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} poll_error_endpoint_and_fix 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.
Free to start. No card required.
Fetch specific JSON error report and automatically fix protocols. It is categorised as a Execute tool in the Opentrons MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Opentrons MCP Server MCP server in PolicyLayer and add a rule for poll_error_endpoint_and_fix: 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 Opentrons MCP Server. Nothing to install.
poll_error_endpoint_and_fix 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 poll_error_endpoint_and_fix 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 poll_error_endpoint_and_fix. 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.
poll_error_endpoint_and_fix is provided by the Opentrons MCP Server MCP server (yerbymatey/opentrons-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Opentrons MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
14 Opentrons MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.