Analyze predicate locks that may lead to serialization failures or contention.
AI agents call PostgreSQL_predicate_lock_analysis to retrieve information from Postgres without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs diagnostic analysis of predicate locks to identify potential serialization failures or contention. This is a read/observe operation consistent with sibling tools named 'analyze_*', which all appear to be monitoring and diagnostic tools with no side effects. Severity is low because it only reads lock metadata.
From the tool's definition 'Analyze predicate locks' — the tool inspects/reports on existing lock state; no indication of modification or execution of data-changing operations.
Documented attack patterns abuse exactly the kind of access PostgreSQL_predicate_lock_analysis 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_predicate_lock_analysis:
{
"version": "1",
"default": "deny",
"tools": {
"PostgreSQL_predicate_lock_analysis": {}
}
}PostgreSQL_predicate_lock_analysis is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze predicate locks that may lead to serialization failures or contention. It is categorised as a Read tool in the Postgres MCP Server, which means it retrieves data without modifying state.
Register the Postgres MCP server in PolicyLayer and add a rule for PostgreSQL_predicate_lock_analysis: 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_predicate_lock_analysis 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 PostgreSQL_predicate_lock_analysis 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_predicate_lock_analysis. 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_predicate_lock_analysis 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.