Answer · ChatGPT plugins

Do plugin and MCP tool descriptions affect discovery?

For installed plugins, yes: OpenAI says ChatGPT and Codex decide when to call a tool based on the metadata the developer provides, which includes MCP tool names and descriptions. For directory search, our small pilot on 9 Oct 2026 saw results that mostly matched the words in a listing name or short description. For suggestions to people who have not installed a plugin, no source shows that descriptions matter.

First published 9 Oct 2026Sources checked 9 Oct 2026

Last updated 9 Oct 2026

The evidence

Three surfaces, three answers

Each point carries the page it came from. Platform behaviour is described in OpenAI's own words where we can.

Tool selection

OpenAI advises names that pair the domain with the action, descriptions that start with "Use this when" and state the cases the tool should not handle, and replaying a prompt set after each change.

OpenAI, Developer docs, optimize metadata

Directory search, pilot only

Logged out on 9 Oct 2026, a search for CRM returned 47 listings, 45 with CRM in the name or short description. HubSpot, which sat on two directory shelves that day, was not among them. A search for "customer relationship management" returned none. Nine queries, one day: exploratory, not a finding.

KailxLabs, KailxLabs directory pilot, 9 queries and one shelf snapshot · OpenAI, ChatGPT plugin directory, read logged out

Keywords

The plugin manifest has an optional keywords field described as discovery terms. How it is used is not documented.

OpenAI, Developer docs, optimize metadata

Suggestions

OpenAI ties suggestions to utility and user satisfaction, and says nothing about descriptions.

OpenAI, Developer docs, publish and review

Limits

What we do not know

  • The pilot is nine queries on one day, logged out, from one location. It shows the directory can be measured; it does not show how search works.
  • A logged in search may behave differently. We have not tested it.
  • Correlation between listing words and search results does not show that changing the words will change the results.

Nobody outside OpenAI knows the full recommendation method. We report what is documented, what we counted, and what is still unknown, and we keep the three apart.

Sources

Sources and dates

Source date is the date on the source itself. Checked is the day we last read it.

Sources for this answer, with the source date and the date KailxLabs last checked each
SourcePublisherSource dateChecked
Developer docs, optimize metadataOpenAINot dated9 Oct 2026
KailxLabs directory pilot, 9 queries and one shelf snapshotKailxLabs9 Oct 20269 Oct 2026
ChatGPT plugin directory, read logged outOpenAILive page9 Oct 2026
Developer docs, publish and reviewOpenAINot dated9 Oct 2026

Related: Can you optimize a plugin for discovery? · How to measure plugin visibility · ChatGPT plugins research hub

Want this measured for your plugin?We are testing the method now. Tell us about your plugin and we will say what we can and cannot count yet.
Book a call
Last updated 9 Oct 2026
  • 9 Oct 2026: answer published, from OpenAI pages read at the source that day.
Book a call

Talk to the founder.

20 minutes with Kailesk Khumar. You leave knowing where AI names you today, and what it would take to become the answer.

  • A live look. We ask five of your buyer questions on ChatGPT, Google and Perplexity while you watch.
  • The reasons. The three biggest reasons AI names a rival instead of you.
  • The plan. A clear next step and its price, whether or not you hire us.

Pick a time that suits you. The calendar invite arrives straight away. Prefer a link? Book on Cal.com.

KK Kailesk Khumar AI visibility strategy call
20 min Video call Your time zone
Prefer email? Get a free written read instead
What you sell
How did you find us?

No newsletter. A reply from a person within two working days.

Got it. Kailesk will reply within two working days.
Talk to the founderBook a call