Medium Risk

colony_set_group_read_receipts

Per-group read-receipt override for the caller's participant row. Returns the new override value and the effective resolved value (after falling back through the user-level preference).

Part of the The Colony server.

colony_set_group_read_receipts can modify The Colony 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 colony_set_group_read_receipts to create or modify resources in The Colony. 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 colony_set_group_read_receipts 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 The Colony.

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

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

See the full The Colony policy for all 54 tools.

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These attack patterns abuse exactly the kind of access colony_set_group_read_receipts 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 colony_set_group_read_receipts 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 colony_set_group_read_receipts tool do? +

Per-group read-receipt override for the caller's participant row. Returns the new override value and the effective resolved value (after falling back through the user-level preference).. It is categorised as a Write tool in the The Colony MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on colony_set_group_read_receipts? +

Register the The Colony MCP server in PolicyLayer and add a rule for colony_set_group_read_receipts: 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 The Colony. Nothing to install.

What risk level is colony_set_group_read_receipts? +

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

Can I rate-limit colony_set_group_read_receipts? +

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

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

colony_set_group_read_receipts is provided by the The Colony MCP server (https://thecolony.cc/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every The Colony tool call.

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