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description: A discussion raises the point that most agentic applications pass the full, unfiltered tool response straight to the LLM, even when the model only needs a...
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# Every agentic app hands the LLM the raw tool response, even when it only needs a fraction. The fix:

**[Coffee \+ Software](https://daily.dev/sources/coffee-software)** · 1 min read · 0 upvotes · 0 comments

## Summary

A discussion raises the point that most agentic applications pass the full, unfiltered tool response straight to the LLM, even when the model only needs a small portion of that data. This creates inefficiency, and the proposed fix is to filter or trim tool call responses before handing them to the LLM, reducing unnecessary context sent downstream.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=ctDuyekrtXg>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp)

[View this post on daily.dev](https://daily.dev/posts/every-agentic-app-hands-the-llm-the-raw-tool-response-even-when-it-only-needs-a-fraction-the-fix--qorhboso6)

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