List available subcommands for a specific module. Call this after list_modules to discover the exact subcommand names and required arguments before calling cosmos_query or cosmos_tx.
AI agents call list_module_subcommands to retrieve information from Manifest MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only introspection tool that retrieves metadata about available commands. It has no capacity to modify state, execute transactions, delete data, or move funds. The blast radius of misuse is minimal since it only returns informational listings. The tool serves as a prerequisite for other operations but performs no actions itself.
From the tool's definition Tool description explicitly states it 'List[s] available subcommands' - a discovery/query operation with no side effects. The purpose is to enumerate API surface, not execute queries or transactions.
Attacks that exploit this kind of access
List available subcommands for a specific module. Call this after list_modules to discover the exact subcommand names and required arguments before calling cosmos_query or cosmos_tx. It is categorised as a Read tool in the Manifest MCP MCP Server, which means it retrieves data without modifying state.
Register the Manifest MCP server in PolicyLayer and add a rule for list_module_subcommands: 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 Manifest MCP. Nothing to install.
list_module_subcommands 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_module_subcommands 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_module_subcommands. 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_module_subcommands is provided by the Manifest MCP server (manifest-network/manifest-mcp-mono). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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