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▸Snowflake agent evals can pin judge versions; unpinned metrics may roll forward and shift scoresSnowflake▸ThoughtSpot makes Spotter 3 default for new instances; it requires download rights and always shares query data with an LLMThoughtSpot documentation▸MotherDuck adds image classification and object location to prompt_jev(), returning typed SQL outputs with confidence scoresMotherDuck▸BigQuery conversational analytics adds Montréal and Toronto; mixed-region agents still default to globalGoogle Cloud Documentation▸Fabric enables Azure OpenAI Copilot access by default, but OpenAI-subprocessor and cross-region processing/storage switches remain offMicrosoft Learn▸Snowflake Cortex Agents now continue by default when named tools are inaccessible, emitting warnings instead of failing the runSnowflake documentation▸Databricks Genie One can use group memberships to tailor answers, while Unity Catalog remains the access-control boundaryDatabricks documentation▸Fabric data agents can query Power BI models with Read alone; Build and workspace access are unnecessaryMicrosoft Learn▸Fabric data-agent Git configs expose column flags, but selecting a table still includes every columnMicrosoft Learn▸Google Data Agent Kit offers remote Spark kernels, but notebook exports can still move results into local Pandas or ArrowGoogle Cloud Documentation▸Cube says production analytics agents need explicit partial-result states, caller-filtered model search and durable artifactsCube▸Thinking Machines names Bridgewater behind ReViSQL-K2.6, citing 92.97% SC-16 accuracy at 15% of frontier-model costThinking Machines Lab▸AWS says a mismatched data/tool/prompt release cut its Field Sales agent pass rate from 78% to 38% in pre-productionAWS Artificial Intelligence Blog▸NL2SQL Multi-Agent ships evaluation artifacts across BIRD, CSpider, Archer and KDD DataSpace—but no software licenseGitHub▸Snowflake agent evals can pin judge versions; unpinned metrics may roll forward and shift scoresSnowflake▸ThoughtSpot makes Spotter 3 default for new instances; it requires download rights and always shares query data with an LLMThoughtSpot documentation▸MotherDuck adds image classification and object location to prompt_jev(), returning typed SQL outputs with confidence scoresMotherDuck▸BigQuery conversational analytics adds Montréal and Toronto; mixed-region agents still default to globalGoogle Cloud Documentation▸Fabric enables Azure OpenAI Copilot access by default, but OpenAI-subprocessor and cross-region processing/storage switches remain offMicrosoft Learn▸Snowflake Cortex Agents now continue by default when named tools are inaccessible, emitting warnings instead of failing the runSnowflake documentation▸Databricks Genie One can use group memberships to tailor answers, while Unity Catalog remains the access-control boundaryDatabricks documentation▸Fabric data agents can query Power BI models with Read alone; Build and workspace access are unnecessaryMicrosoft Learn▸Fabric data-agent Git configs expose column flags, but selecting a table still includes every columnMicrosoft Learn▸Google Data Agent Kit offers remote Spark kernels, but notebook exports can still move results into local Pandas or ArrowGoogle Cloud Documentation▸Cube says production analytics agents need explicit partial-result states, caller-filtered model search and durable artifactsCube▸Thinking Machines names Bridgewater behind ReViSQL-K2.6, citing 92.97% SC-16 accuracy at 15% of frontier-model costThinking Machines Lab▸AWS says a mismatched data/tool/prompt release cut its Field Sales agent pass rate from 78% to 38% in pre-productionAWS Artificial Intelligence Blog▸NL2SQL Multi-Agent ships evaluation artifacts across BIRD, CSpider, Archer and KDD DataSpace—but no software licenseGitHub
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Fabric data-agent calls can now survive a dropped client connection

Microsoft’s MCP Tasks support turns long analytics questions into resumable jobs—but clients must preserve task IDs and implement cancellation correctly.

Long analytics call vs resumable task with saved ID.
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By The News Desk· Sep 30, 2026the quick take — two AI hosts go live when you do

Microsoft Fabric data agents now support MCP Tasks, allowing a long-running analytics request to continue without keeping one HTTP connection open until the answer is ready. Microsoft’s current product documentation specifies the task lifecycle and client behavior. Microsoft Learn

What changed

A published Fabric data agent already acts as an MCP server exposing one tool: the agent itself. An authenticated MCP client can submit a question, and Fabric grounds the answer in the OneLake sources that the published agent is permitted to access. The endpoint uses MCP over streamable HTTP rather than accepting arbitrary REST requests. Microsoft Learn

With Tasks, a compatible client receives an identifier when an operation is expected to run for a long time. The client can later call tasks/get until work finishes, retain the identifier across a disconnect or restart, and call tasks/cancel when the result is no longer needed. Microsoft cautions that cancellation is not instantaneous: work that is nearly complete may still finish. Clients without Tasks support continue to wait for the response on the original connection. Microsoft Learn

That distinction matters for data-agent workloads. Microsoft specifically points to questions that scan a large table or execute several queries—exactly the requests most likely to outlast a client, proxy, or network timeout. The task handle separates the lifetime of the analysis from the lifetime of one connection. Microsoft Learn

The implementation boundary

This is not automatic durability for every integration. A client must support the io.modelcontextprotocol/tasks extension, store the returned task identifier, poll responsibly, and decide when cancellation is appropriate. Teams should also treat task IDs as operational state: losing the handle after a process restart removes the client’s practical route back to the result, even if Fabric continues the work. Microsoft Learn

Authentication and governance requirements remain. Every MCP request needs a Fabric bearer token with access to the target workspace and agent; the token may represent a user or service principal. The agent must be published, and users need read access to its configured source. Microsoft also warns that responses sent to an external MCP client may leave Fabric’s compliance boundary or geographic region and then fall under that client’s data-handling terms. Microsoft Learn

For production teams, the upgrade checklist is therefore concrete: confirm the client implements Tasks, persist task handles, bound polling, test restart recovery and delayed cancellation, and review where the chosen MCP client processes returned data. Tasks reduce timeout failure; they do not remove identity, lifecycle, or compliance work.

Filed by The News Desk. Corrections: desk@nl2sql.ai · Our standards →

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