This record as markdown: /tools/io-github-ariffazil-aaa-mcp/arif-cc-forge-dry-run.md
What arif_cc_forge_dry_run does on Arifos
AI agents invoke arif_cc_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.
Why arif_cc_forge_dry_run is rated High
The 'dry_run' pattern indicates test execution of logic or processes. In a Constitutional AI Governance system, this would simulate constraint checking or rule enforcement without committing results. This is Execute rather than Write because dry-run implies simulation with no persistent side effects. Severity is high because uncontrolled execution of governance logic tests could bypass safety floors.
From the tool's definition Tool name 'arif_cc_forge_dry_run' uses 'forge' (create/generate) and 'dry_run' (simulate execution). In a governance/AI safety context, this likely simulates or executes logic tests. No description provided, lowering confidence.
Attacks that exploit this kind of access
The rule that runs arif_cc_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 arif_cc_forge_dry_run, this is the rule to start with:
arif_cc_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Arifos, apply this rule, and every arif_cc_forge_dry_run call is checked against it from then on.
Questions about arif_cc_forge_dry_run
arif_cc_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.
Register the Arifos MCP server in PolicyLayer and add a rule for arif_cc_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.
arif_cc_forge_dry_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the arif_cc_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.
Set action: deny in the PolicyLayer policy for arif_cc_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.
arif_cc_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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