List environments in a space This tool lists all environments in a given space. The space name is required. Use this tool as early as possible to understand which environments are configured. Optionally filter by partial name match using partialName parameter.
AI agents call list_environments to retrieve information from Octopus Deploy MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing environment data without creating, modifying, deleting, or executing any operations. It has no side effects and poses minimal risk if misused by an AI agent, as it only exposes information about configured environments.
From the tool's definition Tool description explicitly states 'lists all environments' with optional filtering by name. The word 'list' indicates a query/retrieval operation. Server description emphasizes 'read-only access' to resources including 'environments'.
Documented attack patterns abuse exactly the kind of access list_environments gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Octopus Deploy MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_environments:
{
"version": "1",
"default": "deny",
"tools": {
"list_environments": {}
}
}list_environments is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List environments in a space This tool lists all environments in a given space. The space name is required. Use this tool as early as possible to understand which environments are configured. Optionally filter by partial name match using partialName parameter. It is categorised as a Read tool in the Octopus Deploy MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Octopus Deploy MCP Server MCP server in PolicyLayer and add a rule for list_environments: 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 Octopus Deploy MCP Server. Nothing to install.
list_environments 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_environments 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_environments. 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_environments is provided by the Octopus Deploy MCP Server MCP server (octopusdeploy/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 30 Octopus Deploy MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
30 Octopus Deploy MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.