[API] Update a service's configuration ⚡️ Best for: ✓ Changing service settings ✓ Updating resource limits ✓ Modifying deployment configuration ⚠️ Not for: × Updating environment variables (use variable_set) × Restarting services (use service_restart) × Triggering new deployments (use deployment_...
Risk signalsHigh parameter count (10 properties)
Part of the Railway Infrastructure Manager server.
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AI agents use service_update to create or modify resources in Railway Infrastructure Manager. 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 service_update 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 Railway Infrastructure Manager.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"service_update": {
"limits": [
{
"counter": "service_update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Railway Infrastructure Manager policy for all 36 tools.
These attack patterns abuse exactly the kind of access service_update 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.
[API] Update a service's configuration ⚡️ Best for: ✓ Changing service settings ✓ Updating resource limits ✓ Modifying deployment configuration ⚠️ Not for: × Updating environment variables (use variable_set) × Restarting services (use service_restart) × Triggering new deployments (use deployment_trigger) → Prerequisites: service_list, service_info → Next steps: deployment_trigger → Related: service_restart, variable_set. It is categorised as a Write tool in the Railway Infrastructure Manager MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Railway Infrastructure Manager MCP server in PolicyLayer and add a rule for service_update: 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 Railway Infrastructure Manager. Nothing to install.
service_update 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 service_update 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 service_update. 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.
service_update is provided by the Railway Infrastructure Manager MCP server (antonioevans/railway-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 36 Railway Infrastructure Manager tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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