AI agents call resolve_inspect_item 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 word 'inspect' strongly suggests a read operation that examines or retrieves information about an item. However, the empty description lowers confidence significantly. Given the context of a DaVinci Resolve MCP server, 'inspect_item' most likely retrieves metadata or properties of a timeline item, clip, or media asset without modifying anything.
From the tool's definition Tool name contains 'inspect', which typically implies reading/querying data without side effects. Description is empty and uninformative.
Attacks that exploit this kind of access
resolve_inspect_item. 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_inspect_item: 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_inspect_item 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_inspect_item 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_inspect_item. 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_inspect_item 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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