apply_startup_recommendations

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/apply-startup-recommendations.md

WHAT IT DOES

What apply_startup_recommendations does on Trace

AI agents use apply_startup_recommendations 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 apply_startup_recommendations is rated Medium

Modifies configuration files reversibly with automatic backups; no permanent data loss or code execution risk.

From the tool's definition Apply recommendation: disable MCP server, move skill, delete instruction lines. Backed up.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs apply_startup_recommendations 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 apply_startup_recommendations, this is the rule to start with:

apply_startup_recommendations Rate-limited

apply_startup_recommendations 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": {
    "apply_startup_recommendations": {
      "limits": [
        {
          "counter": "apply_startup_recommendations_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 apply_startup_recommendations call is checked against it from then on.

FAQ

Questions about apply_startup_recommendations

What does the apply_startup_recommendations tool do? +

Apply or preview a get_startup_context_audit recommendation: disable an unused MCP server, move an unused skill aside, or delete duplicated instruction lines. dry_run defaults to true; every write is backed up first. Returns JSON: { dryRun, backupId, outcomes }. 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 apply_startup_recommendations? +

Register the Trace MCP server in PolicyLayer and add a rule for apply_startup_recommendations: 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 apply_startup_recommendations? +

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

Can I rate-limit apply_startup_recommendations? +

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

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

apply_startup_recommendations 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.

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