all_table_names
AI agents call all_table_names to retrieve information from MCP-Python without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Listing table names is a metadata read operation with no side effects. Even if misused, it only exposes schema information, making the blast radius low. Confidence is reduced due to the empty description.
From the tool's definition Tool name 'all_table_names' strongly implies retrieving a list of table names from the database. Description is empty, so classification is based on name alone.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
all_table_names. It is categorised as a Read tool in the MCP-Python MCP Server, which means it retrieves data without modifying state.
Register the MCP-Python MCP server in PolicyLayer and add a rule for all_table_names: 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 MCP-Python. Nothing to install.
all_table_names 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 all_table_names 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 all_table_names. 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.
all_table_names is provided by the MCP-Python MCP server (rhabraken/mcp-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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