Check Python types using pyright with watch and verbose mode support
AI agents call python_check_types to retrieve information from MCP DevTools Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool runs a static type analysis (pyright) on Python code. It only reads and analyzes code without modifying files or executing application logic. It produces diagnostic output (type errors/warnings) but has no side effects on the codebase or external systems.
From the tool's definition Check Python types using pyright with watch and verbose mode support
Documented attack patterns abuse exactly the kind of access python_check_types gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP DevTools Server, and nothing reaches the server without passing your rules. This is the rule we recommend for python_check_types:
{
"version": "1",
"default": "deny",
"tools": {
"python_check_types": {}
}
} python_check_types is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check Python types using pyright with watch and verbose mode support. It is categorised as a Read tool in the MCP DevTools Server MCP Server, which means it retrieves data without modifying state.
Register the MCP DevTools Server MCP server in PolicyLayer and add a rule for python_check_types: 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 DevTools Server. Nothing to install.
python_check_types 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 python_check_types 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 python_check_types. 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.
python_check_types is provided by the MCP DevTools Server MCP server (rshade/mcp-devtools-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP DevTools Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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