otlp_validate
Structurally validates an OTLP/JSON trace (resourceSpans -> scopeSpans -> spans: hex traceId/spanId shape, quoted nanosecond timestamps, parent-span references, time ordering) and checks every gen_ai span's attributes against a pinned gen_ai semantic-convention attribute snapshot (the upstream op...
This record as markdown: /tools/postoaklabs-ainumbers-mcp-apps/otlp-validate.md
What otlp_validate does on Ainumbers Mcp Apps
AI agents call otlp_validate to retrieve information from Ainumbers Mcp Apps without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
trace | object | Yes | An OTLP/JSON trace document: { resourceSpans: [{ scopeSpans: [{ spans: [...] }] }] }. |
Parameters from the server's own tool schema.
Why otlp_validate is rated Low
otlp_validate is a validation and linting tool that inspects telemetry data structure and conformance without altering it. It retrieves and examines trace spans, compares them against a reference snapshot, and reports findings. No side effects, reversibility constraints, code execution, data modification, or financial impact apply.
From the tool's definition Tool description states it 'validates' and 'checks' OTLP trace structure and attributes against a semantic-convention snapshot.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs otlp_validate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ainumbers Mcp Apps, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For otlp_validate, this is the rule to start with:
otlp_validate 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 Ainumbers Mcp Apps, apply this rule, and every otlp_validate call is checked against it from then on.
Questions about otlp_validate
Structurally validates an OTLP/JSON trace (resourceSpans -> scopeSpans -> spans: hex traceId/spanId shape, quoted nanosecond timestamps, parent-span references, time ordering) and checks every gen_ai span's attributes against a pinned gen_ai semantic-convention attribute snapshot (the upstream open-telemetry/semantic-conventions-genai namespace ships zero tagged releases, so this is a dated pin, stamped as semconv_snapshot in the result -- expect it to drift as the upstream spec moves). Byte-identical lint engine to tools/556-otlp-genai-span-composer-linter.html. It is categorised as a Read tool in the Ainumbers Mcp Apps MCP Server, which means it retrieves data without modifying state.
otlp_validate accepts 1 parameter: trace. Required: trace. The full parameter table on this page comes from the server's own tool schema.
Register the Ainumbers Mcp Apps MCP server in PolicyLayer and add a rule for otlp_validate: 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 Ainumbers Mcp Apps. Nothing to install.
otlp_validate 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 otlp_validate 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 otlp_validate. 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.
otlp_validate is provided by the Ainumbers Mcp Apps MCP server (postoaklabs/ainumbers-mcp-apps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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