report_sandbox_violation

Report a policy violation during a sandboxed execution. Optionally terminate the execution.

SERVERTodo for AI MCP Server SOURCEtodo-for-ai/todo-for-ai-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/todo-for-ai-todo-for-ai-mcp/report-sandbox-violation.md

WHAT IT DOES

What report_sandbox_violation does on Todo for AI MCP Server

AI agents call report_sandbox_violation to retrieve information from Todo for AI MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why report_sandbox_violation is rated Low

Even though report_sandbox_violation only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs report_sandbox_violation safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Todo for AI MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For report_sandbox_violation, this is the rule to start with:

report_sandbox_violation Allowed

report_sandbox_violation is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Todo for AI MCP Server, apply this rule, and every report_sandbox_violation call is checked against it from then on.

FAQ

Questions about report_sandbox_violation

What does the report_sandbox_violation tool do? +

Report a policy violation during a sandboxed execution. Optionally terminate the execution. It is categorised as a Read tool in the Todo for AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on report_sandbox_violation? +

Register the Todo for AI MCP Server MCP server in PolicyLayer and add a rule for report_sandbox_violation: 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 Todo for AI MCP Server. Nothing to install.

What risk level is report_sandbox_violation? +

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

Can I rate-limit report_sandbox_violation? +

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

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

report_sandbox_violation is provided by the Todo for AI MCP Server MCP server (todo-for-ai/todo-for-ai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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