Description

What happened?

When a Foundry-hosted agent invokes an MCP tool through a Foundry Toolbox connector (FoundryChatClient.get_toolbox(...)), the W3C trace context of the active OpenTelemetry span is not forwarded to the MCP server reached by the toolbox proxy. As a result, the span produced by the downstream MCP service (in our case a Logic Apps "OAuth Identity Passthrough" MCP server) starts a brand-new trace instead of continuing the agent's trace.

In Datadog APM and Datadog LLM Observability we see two disconnected traces:

• one trace for the Hosted Agent (POST /responses, gen_ai.* spans, etc.),
• a separate, unlinked trace on the Logic Apps side for the actual tool execution.

The same code path with a direct MCPStreamableHTTPTool (no toolbox proxy) propagates traceparent/tracestate correctly via params._meta of tools/call, as documented in python/samples/02-agents/observability/README.md and implemented in python/packages/core/agent_framework/_mcp.py (_inject_otel_into_mcp_meta). Switching the same agent from tools=[MCPStreamableHTTPTool(...)] to tools=toolbox is enough to lose the linkage.

The toolbox path is server-side: the agent process never opens the MCP connection itself. The Foundry platform proxy at FOUNDRY_AGENT_TOOLSET_ENDPOINT (the same component handled by the .NET FoundryToolboxBearerTokenHandler, see dotnet/src/Microsoft.Agents.AI.Foundry.Hosting/FoundryToolboxBearerTokenHandler.cs) only injects Authorization and Foundry-Features and does not appear to forward traceparent/tracestate headers (or inject them in the MCP params._meta) when calling the remote MCP server.

What did you expect to happen?

The Foundry Toolbox proxy should propagate the active W3C trace context to the underlying MCP server, either:

• by forwarding the inbound traceparent/tracestate HTTP headers received from the agent process to the MCP server, and/or
• by injecting them into the MCP params._meta of tools/call, equivalent to what _inject_otel_into_mcp_meta does for direct MCP tools.

That way Datadog APM, Datadog LLM Observability, and Application Insights can show a single end-to-end trace: agent → toolbox proxy → MCP server, instead of two disconnected ones.

Steps to reproduce the issue

1. Build a Foundry hosted agent with agent-framework-foundry-hosting==1.0.0a260428, agent-framework-core==1.2.1, agent-framework-foundry==1.2.1.
2. Configure OpenTelemetry with the W3C trace context propagator (the default) and an OTLP/HTTP exporter to Datadog (or any backend with distributed tracing).
3. Wire two variants of the same agent:
   • Variant A (works): tools=[MCPStreamableHTTPTool(name="...", url=MCP_URL)] pointing directly to the MCP server.
   • Variant B (broken): toolbox = await client.get_toolbox(TOOLBOX_NAME); tools=toolbox against a Foundry Toolbox connector that points to the same MCP server.
4. Send a prompt that triggers the tool in both variants.
5. In Datadog APM, observe:
   • Variant A: a single trace with the agent span as parent and the MCP server span as child.
   • Variant B: the agent span and the MCP server span end up in two unrelated traces; the MCP server's traceparent is freshly generated.

Code Sample

Same agent, two tool wirings. Only the tools= value differs.

from agent_framework import MCPStreamableHTTPTool
from agent_framework_foundry import FoundryChatClient
from agent_framework_foundry_hosting import ResponsesHostServer, InMemoryResponseProvider
from azure.identity.aio import ManagedIdentityCredential

Variant A — direct MCP tool, W3C context flows end-to-end.

mcp_tool = MCPStreamableHTTPTool(name="research_tools", url=MCP_URL)

Variant B — Foundry Toolbox proxy, W3C context is dropped at the proxy.

toolbox = await chat_client.get_toolbox(TOOLBOX_NAME, version=TOOLBOX_VERSION)

async def main() -> None:
    async with (
        ManagedIdentityCredential() as credential,
        FoundryChatClient(
            project_endpoint=PROJECT_ENDPOINT,
            model=MODEL_DEPLOYMENT_NAME,
            credential=credential,
            allow_preview=True,
        ).as_agent(
            name="ea-ai-hosted-agent-baseline-python",
            instructions=SYSTEM_PROMPT,
            tools=toolbox,            # swap to [mcp_tool] to compare
            default_options={
                "store": False,
                "tool_choice": "required",
                "temperature": 0.2,
                "max_tokens": 2000,
            },
        ) as agent,
    ):
        server = ResponsesHostServer(agent, store=InMemoryResponseProvider())
        await server.run_async()

OpenTelemetry is configured at process start with the default W3C TraceContextTextMapPropagator and an OTLP/HTTP exporter to Datadog agentless intake.

Error Messages / Stack Traces

There is no exception. The symptom is a missing parent/child link in the backend.

In Datadog APM, the agent's run shows a gen_ai.* span tree ending at the mcp.tool.call (or equivalent) span. A separate trace, with no parent, contains the Logic Apps spans for the actual MCP execution. The two carry the same wall-clock window and the same caller identity but no shared trace_id.

Inbound HTTP headers received by the MCP server confirm the issue: traceparent is either absent or contains a brand-new trace-id that does not match the agent's outbound traceparent.

Package Versions

agent-framework-core: 1.2.1, agent-framework-foundry: 1.2.1, agent-framework-openai: 1.2.1, agent-framework-foundry-hosting: 1.0.0a260428, mcp: >=1.24,<2, azure-ai-agentserver-core: 2.0.0b3, azure-ai-agentserver-responses: 1.0.0b5, opentelemetry-api: >=1.40,<1.41, opentelemetry-sdk: >=1.40,<1.41, opentelemetry-exporter-otlp-proto-http: >=1.40,<1.41, azure-monitor-opentelemetry-exporter: >=1.0.0b51

Python Version

Python 3.12

Additional Context

• Backend used to detect the missing link: Datadog APM and Datadog LLM Observability. The same gap is observable in Application Insights end-to-end transaction view.
• The MCP server behind the toolbox is a Logic Apps "OAuth Identity Passthrough" workflow protected by Entra ID (auth code + PKCE). It logs the inbound traceparent header on every request, which is how we confirmed the value is not the one emitted by the agent.
• Direct MCP path works as advertised in python/samples/02-agents/observability/README.md: "Whenever there is an active OpenTelemetry span context, Agent Framework automatically propagates trace context to MCP servers via the params._meta field of tools/call requests." The toolbox path bypasses that injection because the tools/call is issued by the Foundry proxy, not by the agent process.
• Possible fix surfaces:
  • Have the toolbox proxy forward traceparent/tracestate HTTP headers received from the agent to the downstream MCP server.
  • Or have it re-inject the trace context into the MCP params._meta from the inbound HTTP headers, mirroring what _inject_otel_into_mcp_meta does on the client side.
• Workaround we are using meanwhile: when full distributed tracing is required for a given environment, switch to the direct MCPStreamableHTTPTool path and forgo the toolbox-managed OAuth identity passthrough. This is not viable in production for OAuth-protected MCP servers.
• Related: ADR docs/decisions/0025-foundry-toolbox-support.md covers toolbox span enrichment but does not address span linking across the proxy boundary.
• Happy to share a sanitized HAR or OTel export from both variants privately if useful.