I work at a company with an LLM-adjacent tool.

The best solution we could find for this problem was a combination of a Wiki + "Saved Programs" (executable scripts).

When you ask a question, the system does a fuzzy Wiki search to see if any topic has relevant info. Wiki links serve as "graph edges" that form a Knowledge Graph.

So lets say I ask "What products from the FOOBAR API sold least last month?"

The agent would look up "FOOBAR API", and then write a script to call the "products" endpoint with a date range + SQL fetch from "sales" DB and do whatever it needs to do.

If none of this info exists (URL to FOOBAR, location of "sales" data), the agent asks for more info and offers to update the wiki for future.

It feels like there's a lot of overlap with the existing MCP "Resources" [0] concept, and that "Searchable Registry" + multi-protocol (MCP/A2A, etc) is the main difference?

Too many protocols got created (MCP, A2A, etc) and so now you've got to create a new standard that can consume them all, and Google being a search index would like to index them, please =)

[0]: https://modelcontextprotocol.io/specification/2025-11-25/ser...

Building an ontology of how people think of and organize information, processes, and actions is not solved via markdown. It’s not well solved intra company much less inter. The systems that do solve some of this are optimizing for unstructured retrieval and will continue to.

Imposing a structure on this unstructured discovery feels like it ignores all progress in IR, and imposes a farcical structure that doesn’t have a tangible benefit.

Why not ask the agent to read .well-known/agent.md (or better yet something.com/agent.md) and do a bootstrap if it is allowed! to do so. It can download skills, configure mcps, etc.

There is no need for another file IMHO.

This is search. Please don't reinvent search with a new acronym.

Agents can use Google. They can also see all the same signals humans do to judge quality. Maybe there's a need for a specialized directory, but does it need a spec or an acronym? No.

I thought the point of AI was that you wouldn't need stuff like this.

for the internal use at my company we created a tool to partially solve this issue by building a manifest that MAY contain tags and other metadata for agentic resources lookup.

https://theta.tamarillo.ai

This is reminiscent of Web Services Discovery (UDDI).

This seems useful as a standard interface, but, again, doesn’t solve the harder discovery problem. Once there is value in appearing in the top results, the system inherits the same adversarial dynamics as SEO/app stores, spam, scams, etc.