List models in a workspace. Filter by state param (PRODUCTION, UNLOCKED, etc). Use modelDetails=true for memory/dates. Use show_modules next.
AI agents call show_models to retrieve information from Anaplan MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward data retrieval operation that queries and returns information about models without any side effects. The mention of optional parameters like 'modelDetails=true' for additional metadata reinforces its read-only nature. It presents minimal risk as it only exposes model information already accessible within the workspace.
From the tool's definition Tool description explicitly states "List models in a workspace" with filtering and optional detail parameters. No mutation, deletion, or execution of operations—purely retrieval of model metadata.
Documented attack patterns abuse exactly the kind of access show_models gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Anaplan MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for show_models:
{
"version": "1",
"default": "deny",
"tools": {
"show_models": {}
}
}show_models is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List models in a workspace. Filter by state param (PRODUCTION, UNLOCKED, etc). Use modelDetails=true for memory/dates. Use show_modules next. It is categorised as a Read tool in the Anaplan MCP MCP Server, which means it retrieves data without modifying state.
Register the Anaplan MCP server in PolicyLayer and add a rule for show_models: 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 Anaplan MCP. Nothing to install.
show_models 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 show_models 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 show_models. 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.
show_models is provided by the Anaplan MCP server (larasrinath/anaplan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Anaplan MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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70 Anaplan MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.