agent_tool_useTier 1 · 70% confidence
ai-agents-agent-tool-use-structured-chat-zero-shot-react-description-agent--87f9daa8
agent: ai_agents
When does this happen?
IF STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION agent finishes the chain without actually calling any tool, only outputting a promise to use it.
How others solved it
THEN Switch to 'chat-conversational-react-description' agent type. If the tool requires multiple inputs, refactor it to accept a single string argument (e.g., a JSON object) and parse it internally. This avoids the multi-input tool issue that causes the agent to skip execution.
class ComparablesTool(BaseTool):
name = "get_comparables"
description = "... Action input should always be an object inside a string with mentioned parameters"
def _run(self, filters_string):
filters = json.loads(filters_string)
# use params like filters.get('latitude')
...Related patterns
github
ai-agents-github-support-for-reasoning-in-openrouter-and-deepseek-p-48add6f0
Tier 1 · 40%
githubai-agents-github-server-capabilities-not-affecting-the-stream-of-ca-ca806d9e
Tier 1 · 40%
githubai-agents-github-patrick-von-platen-cd4d7ceb
Tier 1 · 40%
model_loadingai-agents-model-loading-loading-a-gemma-3-checkpoint-with-automodelforcaus-cc5b7a71
Tier 1 · 70%
githubai-agents-github-runtimeerror-cuda-error-cublas-status-not-initiali-9b601119
Tier 1 · 40%
githubai-agents-github-bug-frequent-ide-disconnections-disrupting-workflo-e9f35aca
Tier 1 · 40%
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