psql-query
Executes a PostgreSQL query via psql and returns structured tabular output.
This record as markdown: /tools/io-github-dave-london-pare-test/psql-query.md
What psql-query does on Test
AI agents invoke psql-query to trigger actions in Test. 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.
Why psql-query is rated High
This tool executes arbitrary SQL queries against a PostgreSQL database. While named 'query' (implying read), it can execute any SQL including DDL (DROP, DELETE, TRUNCATE) or DML (INSERT, UPDATE). The blast radius is high because a misused query could destroy or exfiltrate data.
From the tool's definition 'Executes a PostgreSQL query via psql' — runs arbitrary SQL against a database and returns results
Attacks that exploit this kind of access
The rule that runs psql-query safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Test, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For psql-query, this is the rule to start with:
psql-query 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Test, apply this rule, and every psql-query call is checked against it from then on.
Questions about psql-query
Executes a PostgreSQL query via psql and returns structured tabular output. It is categorised as a Execute tool in the Test MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Test MCP server in PolicyLayer and add a rule for psql-query: 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 Test. Nothing to install.
psql-query 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 psql-query 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 psql-query. 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.
psql-query is provided by the Test MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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