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Friday August 14, 2026 15:25 - 15:50 KST
We built an MCP server exposing 40+ operations. Agents misused most of them. Hybrid search returned only IDs with no context. get_issue prefixed every field with redundant key-value labels, burning tokens without helping the LLM. We had write tools with no corresponding read tools. Custom field schemas varied wildly across organizations, causing unpredictable bloat.
We cut to 14 tools. Agent precision improved dramatically. But deciding which 14 - and how to design them - required building a framework we wish had existed when we started.
This talk shares that framework as an open, reusable methodology any MCP server author can apply: how to audit which tools agents actually select vs. misuse, how to score agent success rate per tool, how to identify tools that confuse rather than help, how to structure response shapes for minimal token cost and maximum agent comprehension, and how to design progressive disclosure so capability scales without overwhelming context.
Every team building an MCP server faces this decision. We'll give them a starting point so they don't have to learn it the hard way.
Speakers
avatar for Nimit Savant

Nimit Savant

Developer Evangelist, DevRev
I love to talk about Agentic AI and B2B Developer Advocacy and strategies
avatar for Gokul K S

Gokul K S

Member of Technical Staff, DevRev
Computer engineer with 3 years of experience in backend systems and currently exploring the agentic space.
Friday August 14, 2026 15:25 - 15:50 KST
Orchid 1

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