Low Risk

get_recommendations

Get comprehensive, multi-dimensional code analysis with 10+ specialized analyzers covering style, safety, performance, concurrency, metaprogramming, testing, build systems, interop, metrics, and modern Zig patterns

How to control get_recommendations ↓

AI agents call get_recommendations to retrieve information from Zig MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool reads and analyzes Zig code to produce recommendations and insights. It does not create, modify, or delete code; it does not execute arbitrary commands or code outside a sandboxed analysis context; it does not move money or trigger irreversible changes. The function is purely informational (Read category).

From the tool's definition Tool provides 'code analysis' and 'recommendations' with 'analyzers' that cover style, safety, performance, etc. It 'gets' comprehensive analysis—a retrieval and reporting function with no modification, deletion, or execution of external operations.

Documented attack patterns abuse exactly the kind of access get_recommendations gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Zig MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_recommendations:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_recommendations": {}
  }
}

get_recommendations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Zig MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the get_recommendations tool do? +

Get comprehensive, multi-dimensional code analysis with 10+ specialized analyzers covering style, safety, performance, concurrency, metaprogramming, testing, build systems, interop, metrics, and modern Zig patterns. It is categorised as a Read tool in the Zig MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_recommendations? +

Register the Zig MCP Server MCP server in PolicyLayer and add a rule for get_recommendations: 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 MCP Server. Nothing to install.

What risk level is get_recommendations? +

get_recommendations is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_recommendations? +

Yes. Add a rate_limit block to the get_recommendations 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.

How do I block get_recommendations completely? +

Set action: deny in the PolicyLayer policy for get_recommendations. 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.

What MCP server provides get_recommendations? +

get_recommendations is provided by the Zig MCP Server MCP server (opensvm/zig-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Zig MCP Server tool call.

Deterministic rules across all 7 Zig MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

7 Zig MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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