Low Risk

stats_distribution

Analyze data distribution with histogram and distribution fitting

How to control stats_distribution ↓

What stats_distribution does on Postgres Mcp Legacy

AI agents call stats_distribution to retrieve information from Postgres Mcp Legacy without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why stats_distribution needs a policy

This tool performs statistical analysis and visualization of data distributions. The verbs 'analyze' and 'distribution fitting' describe passive data inspection operations with no side effects. No data is created, modified, deleted, or code executed—only metrics and histograms are computed from existing data. This is a classic Read operation.

From the tool's definition Tool name 'stats_distribution' and description 'Analyze data distribution with histogram and distribution fitting' indicate a read-only analytical operation that queries and examines existing data distributions without modifying, deleting, or executing code.

Documented attack patterns abuse exactly the kind of access stats_distribution gives an agent:

How to control stats_distribution

PolicyLayer is an MCP gateway — it sits between your AI agents and Postgres Mcp Legacy, and nothing reaches the server without passing your rules. This is the rule we recommend for stats_distribution:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "stats_distribution": {}
  }
}

stats_distribution is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Postgres Mcp Legacy — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about stats_distribution

What does the stats_distribution tool do? +

Analyze data distribution with histogram and distribution fitting. It is categorised as a Read tool in the Postgres Mcp Legacy MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stats_distribution? +

Register the Postgres Mcp Legacy MCP server in PolicyLayer and add a rule for stats_distribution: 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 Postgres Mcp Legacy. Nothing to install.

What risk level is stats_distribution? +

stats_distribution is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit stats_distribution? +

Yes. Add a rate_limit block to the stats_distribution 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.

How do I block stats_distribution completely? +

Set action: deny in the PolicyLayer policy for stats_distribution. 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.

What MCP server provides stats_distribution? +

stats_distribution is provided by the Postgres Mcp Legacy MCP server (neverinfamous/postgres-mcp-legacy). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Postgres Mcp Legacy tool call.

Start from Postgres Mcp Legacy, 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.

60 Postgres Mcp Legacy tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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