Get the reputation score for an AI agent.
AI agents call moltrust_reputation to retrieve information from MolTrust 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 reputation data without creating, modifying, executing, or deleting anything. It has no side effects and presents minimal risk even if misused by an agent—at worst, it returns information already computed and stored. The low severity reflects that reputation lookups cannot cause direct harm.
From the tool's definition Tool name 'moltrust_reputation' and description 'Get the reputation score for an AI agent' indicate a query/retrieval operation. The verb 'Get' and the read-only nature of retrieving a score (no modification or execution) clearly signal a Read category action.
Attacks that exploit this kind of access
Get the reputation score for an AI agent. It is categorised as a Read tool in the MolTrust MCP Server MCP Server, which means it retrieves data without modifying state.
Register the MolTrust MCP Server MCP server in PolicyLayer and add a rule for moltrust_reputation: 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 MolTrust MCP Server. Nothing to install.
moltrust_reputation 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 moltrust_reputation 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 moltrust_reputation. 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.
moltrust_reputation is provided by the MolTrust MCP Server MCP server (pypi:moltrust-mcp-server). 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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