Low Risk

getEnvironments

the getEnvironments tool can retrieve environments for a given test target. an environment represents a specific setup or deployments for a test target. It include a test account when necsesary to login, a header configuration, a discovery url and a set of variables.

How to control getEnvironments ↓

What getEnvironments does on Octomind

AI agents call getEnvironments to retrieve information from Octomind without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why getEnvironments needs a policy

The tool retrieves configuration data (environments, test accounts, headers, discovery URLs, variables) for a given test target. The verb 'retrieve' and lack of any mutation language (create, delete, modify, execute) clearly position this as a Read operation. The blast radius is low since it only accesses existing configuration data without executing tests or making changes.

From the tool's definition Tool name 'getEnvironments' and description 'can retrieve environments' indicates a query/retrieval operation with no modifications or side effects.

Documented attack patterns abuse exactly the kind of access getEnvironments gives an agent:

How to control getEnvironments

PolicyLayer is an MCP gateway — it sits between your AI agents and Octomind, and nothing reaches the server without passing your rules. This is the rule we recommend for getEnvironments:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "getEnvironments": {}
  }
}

getEnvironments is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Octomind — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about getEnvironments

What does the getEnvironments tool do? +

the getEnvironments tool can retrieve environments for a given test target. an environment represents a specific setup or deployments for a test target. It include a test account when necsesary to login, a header configuration, a discovery url and a set of variables. It is categorised as a Read tool in the Octomind MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on getEnvironments? +

Register the Octomind MCP server in PolicyLayer and add a rule for getEnvironments: 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 Octomind. Nothing to install.

What risk level is getEnvironments? +

getEnvironments is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit getEnvironments? +

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

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

getEnvironments is provided by the Octomind MCP server (octomind-dev/octomind-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Octomind tool call.

Start from Octomind, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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21 Octomind tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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