This record as markdown: /tools/io-github-devopam-mcpg/test-rls-for-role.md
What test_rls_for_role does on Mcpg
AI agents invoke test_rls_for_role to trigger actions in Mcpg. 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 test_rls_for_role is rated High
The tool name suggests it tests Row-Level Security (RLS) policies for a specific database role. Testing RLS typically involves executing queries or simulating access under a different role context, which falls under Execute. However, since the description is empty, confidence is lowered.
From the tool's definition Tool name 'test_rls_for_role' — no description provided
Attacks that exploit this kind of access
The rule that runs test_rls_for_role safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For test_rls_for_role, this is the rule to start with:
test_rls_for_role 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 Mcpg, apply this rule, and every test_rls_for_role call is checked against it from then on.
Questions about test_rls_for_role
test_rls_for_role is a execute tool on the Mcpg MCP server. It is categorised as a Execute tool in the Mcpg MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcpg MCP server in PolicyLayer and add a rule for test_rls_for_role: 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 Mcpg. Nothing to install.
test_rls_for_role 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 test_rls_for_role 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 test_rls_for_role. 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.
test_rls_for_role is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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