AI agents use define_metric to create or update resources in Semantic Metrics Modeling Assistant — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Semantic Metrics Modeling Assistant environment.
The tool creates new metric definitions in a semantic modeling system. This is a reversible write operation—metrics can be updated or deleted later. While it modifies persistent data, it does not delete, execute arbitrary code, or move money.
From the tool's definition Tool name 'define_metric' combined with server context describing 'define, validate, and visualize semantic metrics with enterprise-grade persistence' indicates this creates or modifies metric definitions. No description provided, lowering confidence slightly.
Documented attack patterns abuse exactly the kind of access define_metric gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Semantic Metrics Modeling Assistant, and nothing reaches the server without passing your rules. This is the rule we recommend for define_metric:
{
"version": "1",
"default": "deny",
"tools": {
"define_metric": {
"limits": [
{
"counter": "define_metric_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}define_metric 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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define_metric. It is categorised as a Write tool in the Semantic Metrics Modeling Assistant MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Semantic Metrics Modeling Assistant MCP server in PolicyLayer and add a rule for define_metric: 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 Semantic Metrics Modeling Assistant. Nothing to install.
define_metric 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 define_metric 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 define_metric. 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.
define_metric is provided by the Semantic Metrics Modeling Assistant MCP server (jkelleman/semantic-metrics-modeling-assistant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Semantic Metrics Modeling Assistant, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 Semantic Metrics Modeling Assistant tools catalogued and risk-classified — across an index of 43,000+ MCP servers.