reject_decision

Reject a decision currently in the memoir-style review queue (review_status=

SERVERTrace SOURCEnikolai-vysotskyi/trace-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/nikolai-vysotskyi-trace-mcp/reject-decision.md

WHAT IT DOES

What reject_decision does on Trace

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

RISK

Why reject_decision is rated Medium

Rejecting a decision in a review queue modifies the status and state of a decision record, making this a Write operation that reverses or changes a prior decision state. It is not destructive (the decision can be reactivated/re-reviewed) and not execute/financial in nature.

From the tool's definition Tool description states 'Reject a decision currently in the memoir-style review queue', indicating modification of decision/review state. The truncated description 'review_status=' suggests state change operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs reject_decision safely

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

reject_decision Rate-limited

reject_decision 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": {
    "reject_decision": {
      "limits": [
        {
          "counter": "reject_decision_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 Trace, apply this rule, and every reject_decision call is checked against it from then on.

FAQ

Questions about reject_decision

What does the reject_decision tool do? +

Reject a decision currently in the memoir-style review queue (review_status=. It is categorised as a Write tool in the Trace MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on reject_decision? +

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

What risk level is reject_decision? +

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

Can I rate-limit reject_decision? +

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

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

reject_decision is provided by the Trace MCP server (nikolai-vysotskyi/trace-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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team_manager_emit_decision on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →