retention_sync_findings

Sync retention.sh QA findings, scores, and token savings into local MCP state.

SERVERNodebench SOURCEnodebench-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/retention-sync-findings.md

WHAT IT DOES

What retention_sync_findings does on Nodebench

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

RISK

Why retention_sync_findings is rated Medium

The tool writes/synchronizes external QA findings and scores into local MCP state, which is a data write operation. It creates or modifies state data locally. No indication of irreversible deletion, code execution, or financial operations.

From the tool's definition 'Sync retention.sh QA findings, scores, and token savings into local MCP state'

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs retention_sync_findings safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For retention_sync_findings, this is the rule to start with:

retention_sync_findings Rate-limited

retention_sync_findings 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": {
    "retention_sync_findings": {
      "limits": [
        {
          "counter": "retention_sync_findings_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every retention_sync_findings call is checked against it from then on.

FAQ

Questions about retention_sync_findings

What does the retention_sync_findings tool do? +

Sync retention.sh QA findings, scores, and token savings into local MCP state. It is categorised as a Write tool in the Nodebench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on retention_sync_findings? +

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

What risk level is retention_sync_findings? +

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

Can I rate-limit retention_sync_findings? +

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

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

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

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