Modern agentic applications rarely suffer from a lack of tools. They suffer from too many of...
Consolidate 30+ MCP operations into 3–5 domain tools via action discriminators, reducing token context without losing capabilities. Cuts hallucination on tool selection; improves token efficiency for production agents through semantic domain boundaries and clear action routing.
Modern agentic applications rarely suffer from a lack of tools.
They suffer from too many of them.
As an AI agent grows, it is common to connect it to Jira, GitLab, Confluence, Sentry, Elasticsearch, Jaeger, databases, monitoring systems, internal APIs, deployment platforms, and dozens of other services.
Each integration can expose many operations:
Jira
MCP makes it easy to expose tools. That creates new failure modes. Here's how to design tools, manage catalogs, and segment…
The Problem Model Context Protocol (MCP) lets an AI agent call structured tools instead of...
aws.amazon.comIn this post, we show where MCP tool design goes wrong and how to fix it with practical context engineering approaches.
aws.amazon.com
A practical MCP tool budget guide for AI SaaS builders covering tool limits, tenant caps, risk tiers, OAuth scopes, approval…
Most "AI project tools" wrap a chatbot around a board. We needed the opposite: a real issue tracker...
Typed inputs stop malformed calls. They don't stop an agent from calling the wrong tool with a well-formed, wrong argument.…
