add_finding · Project Brain MCP: Risk & Policy

WHAT IT DOES

What add_finding does on Project Brain

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

WHY IT NEEDS A POLICY

Why add_finding needs a policy

This tool creates or appends findings to persistent engineering memory. While reversible (sibling 'delete_entry' and 'update_entry' suggest modification is possible), the primary action is data creation/writing.

From the tool's definition Tool name 'add_finding' indicates creating/appending data to a findings repository. Server context confirms it stores engineering memory and decisions. Sibling tools 'add_decision', 'add_mistake', 'update_entry' confirm write-class operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_finding Rate-limited

add_finding 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": {
    "add_finding": {
      "limits": [
        {
          "counter": "add_finding_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 Project Brain, so you can run agents against it safely.

FAQ

Questions about add_finding

What does the add_finding tool do? +

add_finding. It is categorised as a Write tool in the Project Brain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_finding? +

Register the Project Brain MCP server in PolicyLayer and add a rule for add_finding: 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 Project Brain. Nothing to install.

What risk level is add_finding? +

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

Can I rate-limit add_finding? +

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

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

add_finding is provided by the Project Brain MCP server (pym2282/project-brain-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.