Thanks everyone for the feedback on this RFC. The discussion period has closed and we’re moving to resolve.
Key themes from feedback:
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Tool discovery and selection - How does Rovo pick between tools with similar descriptions? How does it handle overlap with native capabilities? No built-in priority today; clear descriptions win. This needs more thought as the ecosystem scales.
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Admin governance - Default state on install, what happens when new tools are added post-install, opt-in vs opt-out. Aligning with existing Connected Apps patterns but specifics need to be locked down.
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Description overloading - The description field serves both admin UI and LLM selection. These are different jobs and should likely be separated.
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Invocation attribution - Developers need a clear way to distinguish which surface invoked their tool (Rovo Chat, external MCP client, Automation) for adoption analytics.
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Crowded tool space - As more apps expose tools, we need better answers for grouping, namespacing, and contextual filtering beyond admin toggles.
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Async/long-running tools - Timeout contract for MCP-invoked actions needs to be specified, especially for heavy workloads like exports.
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Module limits -
rovo:mcpis one module per manifest so it doesn’t blow the cap, but apps already near the limit should flag this.
What we’re doing next:
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Proceeding with the
rovo:mcpmodule design as proposed -
Addressing the open questions above in implementation design docs
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The companion
rovo:skillRFC is live for feedback here: RFC-137: Forge Module for AI Skills -
EAP targeting later next quarter