Medium Risk

message_human

Send a message to a contractor (terminal overlay or desktop notification).

Part of the Mcp Human Agents server.

message_human can modify Mcp Human Agents data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use message_human to create or modify resources in Mcp Human Agents. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call message_human repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Mcp Human Agents.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "message_human": {
      "limits": [
        {
          "counter": "message_human_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Mcp Human Agents policy for all 5 tools.

Get this rule live on your own Mcp Human Agents 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 message_human 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 message_human only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the message_human tool do? +

Send a message to a contractor (terminal overlay or desktop notification).. It is categorised as a Write tool in the Mcp Human Agents MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on message_human? +

Register the Mcp Human Agents MCP server in PolicyLayer and add a rule for message_human: 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 Mcp Human Agents. Nothing to install.

What risk level is message_human? +

message_human is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit message_human? +

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

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

message_human is provided by the Mcp Human Agents MCP server (@bazaar.ai/mcp-human-agents). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Human Agents tool call.

Deterministic rules across all 5 Mcp Human Agents tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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