AI agents call resolve_get_timeline_settings to retrieve information from Resolve without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool only reads and returns timeline settings as JSON. There is no modification, execution, or deletion involved. Misuse risk is minimal as it only exposes configuration data.
From the tool's definition 'Get all settings for the current timeline as JSON' — purely retrieves/queries data with no side effects.
Attacks that exploit this kind of access
Get all settings for the current timeline as JSON. It is categorised as a Read tool in the Resolve MCP Server, which means it retrieves data without modifying state.
Register the Resolve MCP server in PolicyLayer and add a rule for resolve_get_timeline_settings: 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 Resolve. Nothing to install.
resolve_get_timeline_settings 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 resolve_get_timeline_settings 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 resolve_get_timeline_settings. 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.
resolve_get_timeline_settings is provided by the Resolve MCP server (jenkinsm13/resolve-mcp). 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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