get_insight_resources
Use this when the user wants to see which specific resources are affected by an optimization insight. Returns a page of resourceResults with rowCount and pageToken, resource IDs, accounts, savings or risk counts. There is no dedicated remediation field. Default page size is 1000; follow pageToken...
This record as markdown: /tools/doit/get-insight-resources.md
What get_insight_resources does on Doit
AI agents call get_insight_resources 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 |
|---|---|---|---|
key | string | Yes | The key of the insight (e.g. 'delete-ebs-volumes'). Use the 'key' field from list_optimization_recommendations. |
source | string | Yes | The source of the insight (e.g. 'aws-cost-optimization-hub', 'aws-trusted-advisor'). Use the 'source' field from list_optimization_recommendations. |
pageToken | string | — | Opaque cursor returned by the previous resource page. |
maxResults | integer | — | Maximum resources per page, 1–5000; defaults to 1000. |
Parameters from the server's own tool schema.
Why get_insight_resources is rated Low
Even though get_insight_resources 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.
Attacks that exploit this kind of access
The rule that runs get_insight_resources 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 get_insight_resources, this is the rule to start with:
get_insight_resources 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 get_insight_resources call is checked against it from then on.
Questions about get_insight_resources
Use this when the user wants to see which specific resources are affected by an optimization insight. Returns a page of resourceResults with rowCount and pageToken, resource IDs, accounts, savings or risk counts. There is no dedicated remediation field. Default page size is 1000; follow pageToken for more resources. Do NOT use this for listing all insights (use list_optimization_recommendations). It is categorised as a Read tool in the Doit MCP Server, which means it retrieves data without modifying state.
get_insight_resources accepts 4 parameters: key, source, pageToken, maxResults. Required: key, source. 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 get_insight_resources: 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.
get_insight_resources 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 get_insight_resources 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 get_insight_resources. 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.
get_insight_resources 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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