blackboard_set · Mcp Research Collective MCP: Risk & Policy

WHAT IT DOES

What blackboard_set does on Mcp Research Collective

AI agents use blackboard_set to create or update resources in Mcp Research Collective — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Research Collective environment.

WHY IT NEEDS A POLICY

Why blackboard_set needs a policy

The tool modifies the shared blackboard by publishing beliefs. This is reversible (beliefs can be updated or overwritten by subsequent calls) and has no irreversible side effects. It does not execute code, delete data, or move money. In a multi-agent research system, unauthorized modification of the shared belief store could corrupt collaborative state or mislead other agents, warranting 'medium' severity.

From the tool's definition Tool name 'blackboard_set' and description 'Publish a belief to the shared blackboard' indicate creation or modification of data in a shared store. This is a write operation that creates or updates beliefs without deletion.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

blackboard_set Rate-limited

blackboard_set stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "blackboard_set": {
      "limits": [
        {
          "counter": "blackboard_set_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Mcp Research Collective, so you can run agents against it safely.

FAQ

Questions about blackboard_set

What does the blackboard_set tool do? +

Publish a belief to the shared blackboard. It is categorised as a Write tool in the Mcp Research Collective MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on blackboard_set? +

Register the Mcp Research Collective MCP server in PolicyLayer and add a rule for blackboard_set: 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 Research Collective. Nothing to install.

What risk level is blackboard_set? +

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

Can I rate-limit blackboard_set? +

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

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

blackboard_set is provided by the Mcp Research Collective MCP server (siegkat/mcp-agent-blackboard). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.