observability_snapshot

Return in-memory per-tool latency/failure metrics snapshot as JSON.

Server Visual Annotation MCP mstocker1/visual_annotation_mcp
Category Read
Risk class Low
Parameters 00 required

What observability_snapshot does on Visual Annotation MCP

AI agents call observability_snapshot to retrieve information from Visual Annotation MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why observability_snapshot needs a policy

This tool queries and returns existing metrics data (latency and failure statistics) stored in memory. It is a read-only operation that retrieves observability/telemetry information for diagnostic purposes. There are no side effects, data modifications, code execution, or financial implications. The low severity reflects minimal risk even if accessed by an untrusted agent, as it only exposes performance metrics.

From the tool's definition Tool name 'observability_snapshot' and description 'Return in-memory per-tool latency/failure metrics snapshot as JSON' indicate retrieval of diagnostic/monitoring data with no modification of state or execution of external operations.

Questions about observability_snapshot

What does the observability_snapshot tool do? +

Return in-memory per-tool latency/failure metrics snapshot as JSON. It is categorised as a Read tool in the Visual Annotation MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on observability_snapshot? +

Register the Visual Annotation MCP server in PolicyLayer and add a rule for observability_snapshot: 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 Visual Annotation MCP. Nothing to install.

What risk level is observability_snapshot? +

observability_snapshot is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit observability_snapshot? +

Yes. Add a rate_limit block to the observability_snapshot 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.

How do I block observability_snapshot completely? +

Set action: deny in the PolicyLayer policy for observability_snapshot. 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.

What MCP server provides observability_snapshot? +

observability_snapshot is provided by the Visual Annotation MCP server (mstocker1/visual_annotation_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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