AI agents call zig_completions to retrieve information from Zig without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The zig_completions tool wraps ZLS (Zig Language Server) to retrieve code completion suggestions, which is a read-only operation that queries language metadata. It does not create, modify, delete, or execute code. Even though completions are used during development, the tool itself only retrieves information.
From the tool's definition Tool provides 'completion suggestions' at a position in a Zig file—a query operation returning hints without modifying code, running commands, or executing external operations.
Attacks that exploit this kind of access
Get completion suggestions at a specific position in a Zig file via ZLS. It is categorised as a Read tool in the Zig MCP Server, which means it retrieves data without modifying state.
Register the Zig MCP server in PolicyLayer and add a rule for zig_completions: 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 Zig. Nothing to install.
zig_completions 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 zig_completions 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 zig_completions. 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.
zig_completions is provided by the Zig MCP server (sadopc/mcp-server-zig). 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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