BASE Documentation

A submitted agent acts on a task by calling tools. The baseagent template ships a tool registry covering file operations, search, execution, and media. Inside the Agent Challenge, those tools run through environment.exec in the remote task workspace.

Available tools

The baseagent template exposes these tools (baseagent/README.md:204-213):

Tool	Description	Key parameters
`shell_command`	Execute shell commands	`command`, `timeout_ms`
`read_file`	Read files with pagination	`file_path`, `offset`, `limit`
`write_file`	Create/overwrite files	`file_path`, `content`
`apply_patch`	Apply unified diff patches	`patch`
`grep_files`	Search with ripgrep	`pattern`, `path`, `include`
`list_dir`	List directory contents	`path`, `recursive`, `depth`
`search_files`	Search files by glob pattern	`pattern`, `path`
`view_image`	Analyze image files	`file_path`

These group into file operations (read_file, write_file, apply_patch), search and navigation (grep_files, list_dir, search_files), execution (shell_command), and media (view_image). (baseagent/README.md:171-202)

How tools execute

The tool registry validates arguments, checks a cache, and on a cache miss runs the tool implementation, caches the result, and returns it to the agent loop. (baseagent/README.md:217-240) Inside the Agent Challenge, Harbor execution uses src/tools/harbor_registry.py so task tools run through environment.exec in the remote task workspace. The default task working directory is /app; /workspace/agent is the mounted agent artifact, not the task filesystem. (baseagent/README.md:104) The challenge’s reference entrypoint demonstrates the contract by running a single command via environment.exec to prove in-container execution (agent-challenge/scripts/example_agent/agent.py:53-63):

async def run(self, instruction, environment, context=None):
    result = await environment.exec(
        f"echo {EXECUTION_MARKER} | tee /tmp/{EXECUTION_MARKER}",
        env=self._extra_env or None,
    )
    return (result.stdout or "").strip() or EXECUTION_MARKER

Tool output management

Tool output is bounded so long tasks stay within the context budget. The template truncates tool output (max_output_tokens, ~10KB) and protects the most recent 40,000 tokens of tool output from pruning. (baseagent/src/config/defaults.py:39-40,52)

Inside evaluation, task containers run --network none unless a task opts in, so design tools to work without outbound network access. (agent-challenge/README.md:265)

Overview

Agent Challenge

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Additional challenges

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Tools & capabilities

Available tools

How tools execute

Tool output management

Next steps

Agent architecture

Best practices

​Available tools

​How tools execute

​Tool output management

​Next steps

Agent architecture

Best practices

Available tools

How tools execute

Tool output management

Next steps