list_aws_reserved_instances
Evaluate current AWS commitments, plan and automate purchases, and optimize cloud costs with PerfectScale for Commitments. Returns a paginated list of Reserved Instances (RIs) for the specified AWS organization. Optionally filter by state, instance type, instance family, region, and offering clas...
This record as markdown: /tools/doit/list-aws-reserved-instances.md
What list_aws_reserved_instances does on Doit
AI agents call list_aws_reserved_instances to retrieve information from Doit without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
region | string | — | |
status | string | — | |
pageToken | string | — | |
maxResults | number | — | |
X-Tenant-Id | string | — | |
instanceType | string | — | |
offeringClass | string | — | |
instanceFamily | string | — | |
customerContext | string | — | Scope the request to a specific customer by ID. Required for DoiT employees (whose token isn't tied to a single customer); omit for direct customer users. |
managementAccountId | string | Yes |
Parameters from the server's own tool schema.
Why list_aws_reserved_instances is rated Low
Even though list_aws_reserved_instances only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsHigh parameter count (10 properties)
Attacks that exploit this kind of access
The rule that runs list_aws_reserved_instances safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Doit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_aws_reserved_instances, this is the rule to start with:
list_aws_reserved_instances is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Doit, apply this rule, and every list_aws_reserved_instances call is checked against it from then on.
Questions about list_aws_reserved_instances
Evaluate current AWS commitments, plan and automate purchases, and optimize cloud costs with PerfectScale for Commitments. Returns a paginated list of Reserved Instances (RIs) for the specified AWS organization. Optionally filter by state, instance type, instance family, region, and offering class. Omit filters to return all RIs for the AWS organization. This endpoint is paginated: a response with a non-empty pageToken has more results, returned when that value is passed as the pageToken parameter. A missing, null, or empty pageToken marks the last page. It is categorised as a Read tool in the Doit MCP Server, which means it retrieves data without modifying state.
list_aws_reserved_instances accepts 10 parameters: region, status, pageToken, maxResults, X-Tenant-Id, instanceType, offeringClass, instanceFamily, customerContext, managementAccountId. Required: managementAccountId. The full parameter table on this page comes from the server's own tool schema.
Register the Doit MCP server in PolicyLayer and add a rule for list_aws_reserved_instances: 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 Doit. Nothing to install.
list_aws_reserved_instances is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_aws_reserved_instances 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 list_aws_reserved_instances. 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.
list_aws_reserved_instances is provided by the Doit MCP server (@doitintl/doit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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