cloud_cost_ri_optimizer

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp

Medium RISK CLASS

Category Write

Parameters 63 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/cloud-cost-ri-optimizer.md

WHAT IT DOES

What cloud_cost_ri_optimizer does on Gapup Mcp

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

Parameter	Type	Required	Description
`term`	string	—
`async`	boolean	—	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
`region`	string	Yes
`utilization`	number	—
`cloud_provider`	string	Yes
`instance_family`	string	Yes

Parameters from the server's own tool schema.

RISK

Why cloud_cost_ri_optimizer is rated Medium

This tool creates data artifacts (recommendations, quantities, cost projections) that drive purchasing decisions. While it doesn't directly execute a transaction, a misconfigured or compromised agent could generate misleading RI recommendations that lock an organization into suboptimal cloud contracts, causing financial waste.

From the tool's definition Tool generates 'Reserved Instance purchase recommendations' and 'outputs include cost savings percentage, optimal RI quantity' — it produces actionable purchasing guidance that, if followed by an AI agent, would create financial commitments (RI purchases are…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs cloud_cost_ri_optimizer safely

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

cloud_cost_ri_optimizer Rate-limited

cloud_cost_ri_optimizer 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": {
    "cloud_cost_ri_optimizer": {
      "limits": [
        {
          "counter": "cloud_cost_ri_optimizer_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 Gapup Mcp, apply this rule, and every cloud_cost_ri_optimizer call is checked against it from then on.

FAQ

Questions about cloud_cost_ri_optimizer

What does the cloud_cost_ri_optimizer tool do? +

Analyzes AWS and Azure cloud pricing data alongside RIPE regional demand trends to generate Reserved Instance purchase recommendations for CTOs. Inputs include target cloud provider, instance family, region, and desired commitment term. Outputs include cost savings percentage, optimal RI quantity, and regional demand insights. Ideal for reducing cloud spend with data-driven decisions. Keywords: cloud cost optimization, reserved instances, AWS pricing, Azure pricing, RIPE demand trends. It is categorised as a Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does cloud_cost_ri_optimizer accept? +

cloud_cost_ri_optimizer accepts 6 parameters: term, async, region, utilization, cloud_provider, instance_family. Required: region, cloud_provider, instance_family. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on cloud_cost_ri_optimizer? +

Register the Gapup MCP server in PolicyLayer and add a rule for cloud_cost_ri_optimizer: 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 Gapup Mcp. Nothing to install.

What risk level is cloud_cost_ri_optimizer? +

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

Can I rate-limit cloud_cost_ri_optimizer? +

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

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

cloud_cost_ri_optimizer is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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