Medium Risk

update_decision_records

update_decision_records

How to control update_decision_records ↓

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

Medium Risk

The tool name clearly indicates a write operation that creates or modifies decision records (part of the 'architectural decisions' intelligence layer mentioned in server description). This is reversible data modification rather than deletion or code execution. Without a populated description, confidence is moderate but the write semantics are clear from the name.

From the tool's definition Tool name 'update_decision_records' indicates modification of architectural decision records via write operation. Description is empty, limiting precise assessment of scope and reversibility.

Documented attack patterns abuse exactly the kind of access update_decision_records gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Repowise, and nothing reaches the server without passing your rules. This is the rule we recommend for update_decision_records:

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

update_decision_records 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.

  1. Create a free account and register Repowise — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the update_decision_records tool do? +

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

How do I enforce a policy on update_decision_records? +

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

What risk level is update_decision_records? +

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

Can I rate-limit update_decision_records? +

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

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

update_decision_records is provided by the Repowise MCP server (repowise-dev/repowise). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Repowise tool call.

Deterministic rules across all 19 Repowise tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

19 Repowise tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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