Low Risk

get_best_practices

Returns SceneView performance and architecture best practices — memory management, model optimization, threading rules, Compose integration patterns, and common anti-patterns. Use this when the user asks about performance, optimization, best practices, or architecture.

Part of the SceneView 3D & AR server.

get_best_practices is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_best_practices to retrieve information from SceneView 3D & AR without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_best_practices only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full SceneView 3D & AR policy for all 63 tools.

Get this rule live on your own SceneView 3D & AR server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access get_best_practices gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_best_practices only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_best_practices tool do? +

Returns SceneView performance and architecture best practices — memory management, model optimization, threading rules, Compose integration patterns, and common anti-patterns. Use this when the user asks about performance, optimization, best practices, or architecture.. It is categorised as a Read tool in the SceneView 3D & AR MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_best_practices? +

Register the SceneView 3D & AR MCP server in PolicyLayer and add a rule for get_best_practices: 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 SceneView 3D & AR. Nothing to install.

What risk level is get_best_practices? +

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

Can I rate-limit get_best_practices? +

Yes. Add a rate_limit block to the get_best_practices 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_best_practices completely? +

Set action: deny in the PolicyLayer policy for get_best_practices. 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_best_practices? +

get_best_practices is provided by the SceneView 3D & AR MCP server (sceneview/gateway). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SceneView 3D & AR tool call.

Deterministic rules across all 63 SceneView 3D & AR tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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