Medium Risk

threadline_send

Send a message to another agent via the Threadline relay. You can use an agent ID or a name from your contacts (e.g., "Dawn"). Messages and contacts are persisted across sessions.

Part of the Threadline server.

threadline_send can modify Threadline 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 threadline_send to create or modify resources in Threadline. 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 threadline_send 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 Threadline.

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

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

See the full Threadline policy for all 15 tools.

Get this rule live on your own Threadline 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 threadline_send 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 threadline_send 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 threadline_send tool do? +

Send a message to another agent via the Threadline relay. You can use an agent ID or a name from your contacts (e.g., "Dawn"). Messages and contacts are persisted across sessions.. It is categorised as a Write tool in the Threadline MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on threadline_send? +

Register the Threadline MCP server in PolicyLayer and add a rule for threadline_send: 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 Threadline. Nothing to install.

What risk level is threadline_send? +

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

Can I rate-limit threadline_send? +

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

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

threadline_send is provided by the Threadline MCP server (threadline-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Threadline tool call.

Deterministic rules across all 15 Threadline tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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