AI agents call resolve_analyze_timeline 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 reads/analyzes the current timeline state using Gemini (an AI model) but does not modify, create, or delete any data. Analysis tools are Read category. Severity is low as misuse would only result in unwanted API calls.
From the tool's definition 'Analyze the currently active Resolve timeline' — this is a read/query operation that inspects the timeline and returns analysis results
Attacks that exploit this kind of access
Analyze the currently active Resolve timeline using Gemini. 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_analyze_timeline: 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_analyze_timeline 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_analyze_timeline 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_analyze_timeline. 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_analyze_timeline 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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