AI agents call get_diagnostics to retrieve information from MCP-TY without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves diagnostic information (type errors and warnings) from static analysis of a Python file. It performs only a read operation on code analysis results, with no side effects, data modification, code execution, or external operations. The 'ty' type checker analyzes code semantically but does not execute it or alter any state.
From the tool's definition Tool name 'get_diagnostics' and description 'Get type errors and warnings for a file' indicate data retrieval with no modification or execution of external operations.
Attacks that exploit this kind of access
Get type errors and warnings for a file. It is categorised as a Read tool in the MCP-TY MCP Server, which means it retrieves data without modifying state.
Register the MCP-TY MCP server in PolicyLayer and add a rule for get_diagnostics: 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-TY. Nothing to install.
get_diagnostics 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 get_diagnostics 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 get_diagnostics. 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.
get_diagnostics is provided by the MCP-TY MCP server (qinsehm1128/mcp-ty). 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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