forge_dry_run

A execute tool on the Arifos MCP server.

SERVERArifos SOURCEarifos

High RISK CLASS

Category Execute

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-ariffazil-aaa-mcp/forge-dry-run.md

WHAT IT DOES

What forge_dry_run does on Arifos

AI agents invoke forge_dry_run to trigger actions in Arifos. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why forge_dry_run is rated High

The 'dry_run' suffix indicates execution of logic or code in a test mode whose effects depend on the arguments provided and the underlying 'forge' operation. Even in dry-run mode, this executes an operation (not merely reading or modifying static data). Given the empty description, confidence is moderate rather than high.

From the tool's definition Tool name 'forge_dry_run' suggests simulating or running a process ("forge") in a non-production mode ("dry_run"). The description is empty, limiting direct evidence.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs forge_dry_run safely

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

forge_dry_run Rate-limited

forge_dry_run stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "forge_dry_run": {
      "limits": [
        {
          "counter": "forge_dry_run_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about forge_dry_run

What does the forge_dry_run tool do? +

forge_dry_run is a execute tool on the Arifos MCP server. It is categorised as a Execute tool in the Arifos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on forge_dry_run? +

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

What risk level is forge_dry_run? +

forge_dry_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit forge_dry_run? +

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

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

forge_dry_run is provided by the Arifos MCP server (arifos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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