Run ANALYZE on the entire database to update statistics.
AI agents invoke PostgreSQL_analyze_database to trigger actions in Postgres. 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.
ANALYZE is a PostgreSQL command that scans tables and updates the query planner statistics. It doesn't modify user data or delete anything, but it does trigger a database-wide operation with real side effects (updating system catalog statistics). This makes it Execute rather than Read.
From the tool's definition "Run ANALYZE on the entire database to update statistics"
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access PostgreSQL_analyze_database gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Postgres, and nothing reaches the server without passing your rules. This is the rule we recommend for PostgreSQL_analyze_database:
{
"version": "1",
"default": "deny",
"tools": {
"PostgreSQL_analyze_database": {
"limits": [
{
"counter": "postgresql_analyze_database_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}PostgreSQL_analyze_database 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.
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Run ANALYZE on the entire database to update statistics. It is categorised as a Execute tool in the Postgres MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Postgres MCP server in PolicyLayer and add a rule for PostgreSQL_analyze_database: 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. Nothing to install.
PostgreSQL_analyze_database 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 PostgreSQL_analyze_database 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 PostgreSQL_analyze_database. 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.
PostgreSQL_analyze_database is provided by the Postgres MCP server (mukul975/postgres-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Postgres, 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.
239 Postgres tools catalogued and risk-classified — across an index of 43,000+ MCP servers.