mureo_outcome_evaluate
Deterministically evaluate whether a logged action
This record as markdown: /tools/logly-mureo/mureo-outcome-evaluate.md
What mureo_outcome_evaluate does on Mureo
AI agents call mureo_outcome_evaluate to retrieve information from Mureo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why mureo_outcome_evaluate is rated Low
The verb 'evaluate' combined with 'logged action' suggests this tool retrieves and analyzes historical records to determine outcomes. No mutations, deletions, or external operations are implied. This is a read-only analytical function with minimal blast radius if misused.
From the tool's definition Tool name 'mureo_outcome_evaluate' and description 'Deterministically evaluate whether a logged action' indicate a query or assessment function that examines existing logged data without modifying or deleting it.
Attacks that exploit this kind of access
The rule that runs mureo_outcome_evaluate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mureo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mureo_outcome_evaluate, this is the rule to start with:
mureo_outcome_evaluate 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 Mureo, apply this rule, and every mureo_outcome_evaluate call is checked against it from then on.
Questions about mureo_outcome_evaluate
Deterministically evaluate whether a logged action. It is categorised as a Read tool in the Mureo MCP Server, which means it retrieves data without modifying state.
Register the Mureo MCP server in PolicyLayer and add a rule for mureo_outcome_evaluate: 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 Mureo. Nothing to install.
mureo_outcome_evaluate 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 mureo_outcome_evaluate 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 mureo_outcome_evaluate. 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.
mureo_outcome_evaluate is provided by the Mureo MCP server (logly/mureo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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