This record as markdown: /tools/io-github-devopam-mcpg/list-policies.md
What list_policies does on Mcpg
AI agents call list_policies to retrieve information from Mcpg without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_policies is rated Low
This tool appears to query and return a list of policies without modifying them. It fits the Read category as it retrieves data with no side effects. Severity is low because listing policies poses minimal risk—it reveals metadata about the database configuration but does not alter state or create blast radius.
From the tool's definition Tool name 'list_policies' combined with sibling tools like 'add_compression_policy' and 'add_retention_policy' indicates this retrieves or enumerates existing policies. The verb 'list' is a classic Read operation.
Attacks that exploit this kind of access
The rule that runs list_policies 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 list_policies, this is the rule to start with:
list_policies is read-only, so it stays allowed. 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 list_policies call is checked against it from then on.
Questions about list_policies
list_policies is a read tool on the Mcpg MCP server. It is categorised as a Read tool in the Mcpg MCP Server, which means it retrieves data without modifying state.
Register the Mcpg MCP server in PolicyLayer and add a rule for list_policies: 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.
list_policies 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 list_policies 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 list_policies. 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.
list_policies 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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