This record as markdown: /tools/hermoso/list-library.md
What list_library does on Hermoso
AI agents call list_library to retrieve information from Hermoso without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_library is rated Low
This tool retrieves or lists data from a workspace—a classic Read operation. Browsing implies viewing/enumerating existing resources with no side effects, modifications, or external triggers. Severity is low because listing workspace contents poses minimal risk; the worst case is information disclosure about ad campaigns or competitor data, which is already the intended use of the platform.
From the tool's definition Tool name 'list_library' and description 'Browse this workspace' indicate retrieval and querying of existing data without modification or execution of operations.
Attacks that exploit this kind of access
The rule that runs list_library safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hermoso, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_library, this is the rule to start with:
list_library is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Hermoso, apply this rule, and every list_library call is checked against it from then on.
Questions about list_library
Browse this workspace. It is categorised as a Read tool in the Hermoso MCP Server, which means it retrieves data without modifying state.
Register the Hermoso MCP server in PolicyLayer and add a rule for list_library: 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 Hermoso. Nothing to install.
list_library 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_library 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_library. 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_library is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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