Stopping the LLM from calling the same tool twice (and other things it shouldn't)
A recent incident highlighted a flaw in an agent's tool usage, where it repeatedly called the same tool without making progress. The agent's limited tool list led to multiple empty document creations instead of completing the intended task. This situation underscores the need for a policy layer to prevent redundant tool calls before they occur.
- ▪An agent called the create_doc tool seven times without achieving the desired outcome.
- ▪The agent's tool list was incomplete, lacking necessary functions to complete the task.
- ▪The incident revealed the importance of implementing a policy layer to manage tool calls effectively.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3956503) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Abdullah Shahin Posted on May 28 Stopping the LLM from calling the same tool twice (and other things it shouldn't) #ai #agents #llm #production A user gave one of our agents this query: "Get the products from our catalog, summarize them in a nice doc, share the doc with X, and send them an email asking for feedback." The agent called create_doc seven times. Seven empty Google Docs showed up in the user's Drive. No catalog summary. No sharing. No email.
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