analyze_batch_translation_errors

THE RISK

Low Risk

Why analyze_batch_translation_errors needs a policy

The name suggests this tool examines translation errors from batch operations for diagnostic or reporting purposes. Without a description, confidence is reduced. The analyze_ prefix pattern observed across sibling tools (analyze_canary_failures, analyze_cdk_project, analyze_log_group) consistently indicates Read operations. No evidence of modification, deletion, execution, or financial impact.

From the tool's definition Tool name 'analyze_batch_translation_errors' contains 'analyze', which typically indicates data inspection or querying with no side effects.

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

POLICY

How to control analyze_batch_translation_errors

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_batch_translation_errors": {}
  }
}

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

Create a free account and register Amazon SageMaker AI MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Amazon SageMaker AI MCP Server tools

Destructive bulk_delete_by_criteria bulk_delete_by_criteria Destructive cache_delete Delete a value from the cache. Destructive cache_delete_many Delete multiple values from the cache. Destructive cache_delete_multi Delete multiple values from the cache (alias for delete_many). Destructive cancel_logs_insight_query cancel_logs_insight_query Destructive CancelAHORunBatch CancelAHORunBatch Destructive delete delete Destructive delete_access_key delete_access_key

All 805 Amazon SageMaker AI MCP Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about analyze_batch_translation_errors

What does the analyze_batch_translation_errors tool do? +

analyze_batch_translation_errors. It is categorised as a Read tool in the Amazon SageMaker AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_batch_translation_errors? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for analyze_batch_translation_errors: 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 Amazon SageMaker AI MCP Server. Nothing to install.

What risk level is analyze_batch_translation_errors? +

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

Can I rate-limit analyze_batch_translation_errors? +

Yes. Add a rate_limit block to the analyze_batch_translation_errors 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 analyze_batch_translation_errors completely? +

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

analyze_batch_translation_errors is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-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 Amazon SageMaker AI MCP Server tool call.

Start from Amazon SageMaker AI MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →