使用 DoWhy GCM 均值偏差异常评分器
AI agents call mean_deviation_scorer_gcm to retrieve information from DoWhy MCP v2 0 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool calculates mean deviation anomaly scores using DoWhy GCM, which is a read/query operation that computes statistical metrics from data without modifying, deleting, or executing external operations. It is analogous to the sibling tool 'anomaly_scores_gcm' which also scores/reads. No side effects are implied.
From the tool's definition 'scorer' and '均值偏差异常评分器' (mean deviation anomaly scorer) — computes and returns anomaly scores based on mean deviation
Attacks that exploit this kind of access
使用 DoWhy GCM 均值偏差异常评分器. It is categorised as a Read tool in the DoWhy MCP v2 0 MCP Server, which means it retrieves data without modifying state.
Register the DoWhy MCP v2 0 MCP server in PolicyLayer and add a rule for mean_deviation_scorer_gcm: 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 DoWhy MCP v2 0. Nothing to install.
mean_deviation_scorer_gcm is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the mean_deviation_scorer_gcm 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 mean_deviation_scorer_gcm. 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.
mean_deviation_scorer_gcm is provided by the DoWhy MCP v2 0 MCP server (lesong36/dowhy_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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