WebML CG Teleconference – 25 June 2026 - 15:00-16:00 UTC

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md


WebML CG Teleconference – 25 June 2026 - 15:00-16:00 UTC
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#webml-cg-teleconference--25-june-2026---1500-1600-utc>
See the timezone table ...
San Francisco   Thu, 25 June 2026       08:00
Boston  Thu, 25 June 2026       11:00
London  Thu, 25 June 2026       16:00
Berlin  Thu, 25 June 2026       17:00
Helsinki        Thu, 25 June 2026       18:00
Shanghai        Thu, 25 June 2026       23:00
Tokyo   Fri, 26 June 2026       00:00
UTC     Thu, 25 June 2026       15:00 UTC

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20260625T15


Logistics
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#logistics>

  *   Chair: Anssi
  *   Scribe: Anssi
  *   IRC: irc://irc.w3.org:6667/#webmachinelearning

  *   IRC web client: https://irc.w3.org/?channels=#webmachinelearning

  *   Zoom joining instructions: internal-webmachinelearning<https://lists.w3.org/Archives/Member/internal-webmachinelearning/2023Jun/0000.html>
  *   Minutes: https://www.w3.org/2026/06/25-webmachinelearning-minutes.html


Announcements
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#announcements>
TPAC 2026 schedule
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#tpac-2026-schedule>

Announce the proposed F2F meeting schedule.

Prompt API
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#prompt-api>

Tip

Spec<https://webmachinelearning.github.io/prompt-api/> | Explainer<https://github.com/webmachinelearning/prompt-api/> | Issues<https://github.com/webmachinelearning/prompt-api/issues> | PRs<https://github.com/webmachinelearning/prompt-api/pulls>

Sampling parameters
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#sampling-parameters>

Review early developer feedback results, discuss next steps.

  *   ⨀ webmachinelearning/prompt-api#203<https://github.com/webmachinelearning/prompt-api/issues/203>

WebMCP
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#webmcp>

Tip

Spec<https://webmachinelearning.github.io/webmcp/> | Explainer<https://github.com/webmachinelearning/webmcp/blob/main/README.md> | Issues<https://github.com/webmachinelearning/webmcp/issues> | PRs<https://github.com/webmachinelearning/webmcp/pulls> | Awesome WebMCP<https://github.com/webmachinelearning/awesome-webmcp>

Wide review
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#wide-review>

Initiate the review process with the TAG, Privacy WG and Security WG.

WG transition
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#wg-transition>

Update on the WG transition.

Framework considerations
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#framework-considerations>

Discuss the framework landscape.

  *   ⨀ webmachinelearning/webmcp#199<https://github.com/webmachinelearning/webmcp/issues/199>

Dynamic tool definitions
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#dynamic-tool-definitions>

Review the proposal to let tool definitions respond to state.

  *   ⨀ webmachinelearning/webmcp#167<https://github.com/webmachinelearning/webmcp/issues/167>

Execution progress report
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#execution-progress-report>

Review the proposal to expose progress of tool execution.

  *   ⨀ webmachinelearning/webmcp#196<https://github.com/webmachinelearning/webmcp/issues/196>

Developer tooling
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#developer-tooling>

Understand the use cases and requirements for developer tooling.

  *   ⨀ webmachinelearning/webmcp#207<https://github.com/webmachinelearning/webmcp/issues/207>

Real-user measurement
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2026-06-25-cg-agenda.md#real-user-measurement>

Discuss how RUM techniques apply to WebMCP.

  *   ⨀ webmachinelearning/webmcp#186<https://github.com/webmachinelearning/webmcp/issues/186>