Context-Aware Descriptions

Ragie can generate context-aware descriptions for the Retrieve tool in each MCP server. Instead of using generic, one-size-fits-all text like “a tool to query the knowledge base”, Ragie analyzes the contents of a partition to produce specific, meaningful descriptions that reflect what data is specifically available.

When enabled, Ragie continuously samples the partition and updates the description for the Retrieve tool to match the type of information stored. For example, instead of a generic label, the tool might be described as “retrieve HR documents from 2022–present” or “retrieve quarterly sales figures for Product X.” This level of detail allows MCP clients and LLMs to make more informed decisions about which tool to use, leading to better responses and more efficient workflows.

This feature is disabled by default. It can be enabled in the web dashboard or programmatically through the API.

Why This Matters

Better tool selection: LLMs can identify the right partition to query instead of treating all partitions as interchangeable.

More relevant results: Descriptions reflect the real scope of data (time range, domain, subject matter), reducing irrelevant outputs.

Improved user experience: AI applications can route queries more intelligently, producing answers that align with the actual contents of your data.