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Developers Rethink MCP Context Bloat by Turning Resources into On-Demand Tools

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Engineers working with the Model Context Protocol (MCP) identified a common problem where integrations dump all server resources into the system prompt at startup, causing context bloat, silent truncation, and broken binary file handling. To address this, they introduced two synthetic client-side tools — read_resource(uri) and invoke_prompt(name) — that let the language model fetch only the resources it actually needs during a conversation. Under this approach, the system prompt carries only a lightweight catalog of resource names and descriptions rather than full content. The model then retrieves specific resources on demand through the same tool-calling loop it already uses for other functions. This shift keeps context lean, preserves full document fidelity, and gives the model agency over what information it consumes.

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