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delegate

Executes a complete task autonomously by delegating to a headless Claude agent with full tool access for refactoring, multi-file implementation, and test fixing.

Instructions

Delegate a complete task to Claude Code running headless (claude -p). Claude has full tool access (read, edit, shell, web) in the given cwd and runs its own agentic loop. Use for heavy autonomous work: refactors, multi-file implementation, running and fixing tests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesThe complete task prompt for Claude.
cwdNoAbsolute path to the project root. Defaults to the server's cwd.
modelNoClaude model alias or full name (e.g. 'opus', 'sonnet', 'haiku'). Omit to use the default.
effortNoReasoning effort: 'low' | 'medium' | 'high'. Higher = deeper, slower, costlier.
Behavior4/5

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

With no annotations, the description fully explains behavioral traits: Claude runs headless with full tool access and its own agentic loop. It adds context about autonomous operation beyond what the input schema provides, though it omits details about result handling or side effects.

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 extremely concise: three sentences that front-load the core action, then provide behavioral details, then usage guidance—no wasted words.

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

Completeness3/5

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

While the description covers purpose and behavioral context well, it is silent on the return value or any output format, which is a gap given the lack of output schema and the complexity of delegation.

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?

Schema coverage is 100% with detailed parameter descriptions. The tool description does not add further meaning to any parameter beyond the schema, matching the baseline expectation.

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 verb ('delegate') and resource ('complete task to Claude Code'), and distinguishes from siblings by emphasizing autonomous multi-file work, which is not covered by adversarial_review, follow_up, or web_lookup.

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?

The description explicitly guides usage for 'heavy autonomous work: refactors, multi-file implementation, running and fixing tests', providing clear context for when to use, though it does not directly contrast with siblings.

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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