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timps_batch

Decompose a bulk task into parallel sub-tasks, run them concurrently with specialist agents, and return one combined result. Apply a single instruction across many files at once.

Instructions

Intelligently decompose a bulk task into parallel sub-tasks, execute them concurrently, and return a single aggregated result. Use this to do the same operation across many files at once. Examples: 'add tests for all handlers', 'review all API endpoints', 'add docstrings to every Python file', 'find flaky tests across all modules'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoIf true, just show the decomposition plan without executing
agent_typeYesWhich specialist agent to use (e.g., unit_test_writer, docstring_generator, pr_reviewer, log_detective)
instructionYesThe high-level instruction describing the bulk task
working_dirYesThe project root directory to scan for work items
max_parallelNoMax concurrent sub-agents (default: 10)
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses key behaviors like intelligent decomposition, concurrent execution, and aggregation. However, it omits details on failure handling, mutation of files, safety implications, or resource usage, making it adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two concise sentences plus examples. It is front-loaded with the core action, contains no fluff, and every sentence contributes to understanding the tool's purpose and usage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (parallel sub-agents) and lack of output schema or annotations, the description provides a solid high-level overview: purpose, usage, and examples. It could mention potential side effects (e.g., file modifications) or error handling, but for deciding when to use the tool, it is largely complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 100% coverage with clear descriptions for all 5 parameters. The description adds minimal extra value beyond listing examples of instructions and agent types; it doesn't elaborate on parameters like max_parallel or dry_run. Since the schema already does the heavy lifting, a baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: decompose bulk tasks into parallel sub-tasks, execute concurrently, and return aggregated results. The examples ('add tests for all handlers', 'review all API endpoints') make the purpose concrete and distinguish it from single-task tools like timps_unit_test_writer.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance: 'Use this to do the same operation across many files at once' with concrete examples. It implies when to use the tool effectively, though it does not explicitly state when not to use it or mention alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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