post_insight_resource_results

SERVERDoit SOURCE@doitintl/doit-mcp-server

Medium RISK CLASS

Category Write

Parameters 53 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/doit/post-insight-resource-results.md

WHAT IT DOES

What post_insight_resource_results does on Doit

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

Parameter	Type	Required	Description
`sourceID`	string	Yes
`insightKey`	string	Yes
`maxResults`	number	—
`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.
`resourceResults`	array	Yes	A list of resource-level results for creating or updating an insight.

Parameters from the server's own tool schema.

RISK

Why post_insight_resource_results is rated Medium

An AI agent can call post_insight_resource_results faster than any human can review: one bad instruction and it creates or modifies resources in Doit by the hundred, each call as confident as the last.

Risk signalsHigh parameter count (23 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs post_insight_resource_results 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 post_insight_resource_results, this is the rule to start with:

post_insight_resource_results Rate-limited

post_insight_resource_results 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": {
    "post_insight_resource_results": {
      "limits": [
        {
          "counter": "post_insight_resource_results_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 Doit, apply this rule, and every post_insight_resource_results call is checked against it from then on.

FAQ

Questions about post_insight_resource_results

What does the post_insight_resource_results tool do? +

Manage cloud insights representing recommendations and findings for cloud resources. Replaces all resource results for the specified insight. Any existing unresolved resource results not present in the new set will be removed. The response includes server-computed fields (severity, resolved, enhancement) for each resource result. To delete all resource results, send an empty array. It is categorised as a Write tool in the Doit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does post_insight_resource_results accept? +

post_insight_resource_results accepts 5 parameters: sourceID, insightKey, maxResults, customerContext, resourceResults. Required: sourceID, insightKey, resourceResults. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on post_insight_resource_results? +

Register the Doit MCP server in PolicyLayer and add a rule for post_insight_resource_results: 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.

What risk level is post_insight_resource_results? +

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

Can I rate-limit post_insight_resource_results? +

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

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

post_insight_resource_results 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.

KEEP EXPLORING

More on Doit, and thousands of servers like it.

This server

All 238 Doit tools →

Across the catalogue

team_manager_post_blackboard on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →