[BUG] JSON schema issue between CrewAI MCPServerAdapter and Bedrock LLM Claude / Gemini when using Tool Inputs

[FrancisPrakash]

Description

I have a crewai script which uses MCP Tools, when using Bedrock LLM / Gemini, I'm getting issue related to JSON Schema.

Steps to Reproduce

Shared the code snippet

Expected behavior

None

Screenshots/Code snippets

from crewai import Agent, Task, Crew, Process, LLM
from crewai_tools import MCPServerAdapter
from dotenv import load_dotenv
import os

load_dotenv()

'''
llm = LLM(
model="bedrock/anthropic.claude-3-sonnet-20240229-v1:0",
temperature=0,
)
'''

llm = LLM(
model="gemini/gemini-2.5-flash", # or gemini/gemini-2.0-flash
api_key=os.getenv("GEMINI_API_KEY"),
)

server_params = {
"url": "http://10.10.10.10/mcp",
"transport": "streamable-http",
}

mcp_server_adapter = MCPServerAdapter(server_params)
mcp_tools = mcp_server_adapter.tools

my_agent = Agent(
role="Firewall Configuration Analyst",
goal="Use MCP tools to analyze and optimize firewall configurations.",
backstory="An AI agent that specializes in firewall management using MCP tools.",
tools=mcp_tools,
verbose=True,
llm=llm,
max_iter=3, # Limit to 3 iterations
)

my_task = Task(
name="Firewall Analysis Task",
description=(
"{input} - From the User's input, gather info about the firewall hostname/IP address"
"And identify what is required from firewall and get the appropriate Fortigate cli commands."
"and execute it using the tool which is more relevant. "
"You MUST call use the appropriate MCP Tools with:\n"
"- hostname: the firewall IP address\n"
"- command: the CLI command string (optional)\n"
"Show what is being sent to MCP Tool\n"
"Do not respond without calling the tool.\n"
),
expected_output="Detailed Analysis of the firewall configuration based on the User's input and the results from the MCP tools.",
agent=my_agent,
)
crew = Crew(
name="Firewall Configuration Crew",
agents=[my_agent],
tasks=[my_task],
verbose=True,
process=Process.sequential,
)

try:
result = crew.kickoff(
inputs={
"input": "Firewall IP: 10.10.10.10. I want to check the current firewall status."
}
)
print(result)
except Exception as e:
print(f"Error during crew kickoff: {e}")

Operating System

Ubuntu 20.04

Python Version

3.12

crewAI Version

1.9.3

crewAI Tools Version

1.9.3

Virtual Environment

Venv

Evidence

Error which I observer,

When using Gemini LLM

ERROR:root:Google Gemini API error: 400 - value at properties.command must be a list
An unknown error occurred. Please check the details below.
Error details: 400 INVALID_ARGUMENT. {'error': {'code': 400, 'message': 'value at properties.command must be a list', 'status': 'INVALID_ARGUMENT'}}

When using AWS Bedrock CLaude LLM

ERROR:root:AWS Bedrock ClientError (ValidationException): The model returned the following errors: tools.0.input_schema: JSON schema is invalid - please consult https://json-schema.org or our documentation at https://docs.anthropic.com/en/docs/tool-use

Possible Solution

None

Additional context

None