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chapmanjw

Rutherford MCP Server

by chapmanjw

delegate

Delegate a task to a CLI adapter and return a normalized result. Configure safety mode, execution mode (sync/async), and resume sessions for multi-agent orchestration.

Instructions

Delegate a task to one CLI and return its normalized result.

cli is an adapter id (see capabilities); model is optional (the adapter's default otherwise). safety_mode is read_only | propose | write | yolo (default read_only); write and yolo also need a trusted workspace (trust_workspace=true or a configured allowlist). With mode="async" a job id is returned; poll job_status / job_result. session_id resumes a prior session where the CLI supports it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cliYes
promptYes
modelNo
working_dirNo
filesNo
roleNo
safety_modeNoread_only
modeNosync
timeout_sNo
session_idNo
include_rawNo
trust_workspaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden. It discloses behavioral traits: asynchronous behavior (mode), safety modes (read_only/propose/write/yolo) with trust requirements, session resumption, and return of job ids. Minor gaps include error handling and CLI availability.

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 concise, front-loaded with purpose, and each sentence adds value. Structured with bullet-like clarity, no redundancy.

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 complexity (12 parameters, async modes) and presence of an output schema, the description covers essential behavioral context. Missing parameter explanations for half the parameters, but the tool remains usable for an AI agent.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It explains key parameters (cli, model, safety_mode, mode, session_id, trust_workspace) but omits prompt, working_dir, files, role, timeout_s, include_raw. The explained parameters add significant value beyond schema.

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 'Delegate a task to one CLI and return its normalized result', providing a specific verb and resource. It distinguishes from siblings by mentioning adapter ids (see capabilities) and async mode, though not explicitly compared.

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

Usage Guidelines3/5

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

The description explains usage contexts like safety modes and async mode but lacks explicit guidance on when to use this tool versus its siblings (capabilities, consensus, etc.). It provides parameter-level guidance but not tool selection advice.

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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