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DesktopCommanderPy

start_process

Start a background process and capture its output for later interaction. Returns the process ID for managing long-running tasks or REPLs.

Instructions

Arranca un proceso en segundo plano y devuelve su PID.

A diferencia de execute_command, el proceso queda vivo y con su stdout/stderr siendo capturados en un buffer interno. Usa read_process_output para leer el output acumulado e interact_with_process para enviar input (ideal para REPLs).

Devuelve el PID y el output inicial (primeros segundos de arranque).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commandYesComando a ejecutar. Puede ser una shell interactiva (python -i, node -i) o cualquier proceso largo.
working_directoryNoDirectorio de trabajo. Por defecto el home del usuario.
timeout_secondsNoTimeout en segundos para la lectura inicial de output. 0 = usar configuración.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It explains that the process stays alive, stdout/stderr are captured, and it returns PID and initial output. Could mention termination or resource implications, but sufficient.

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?

Three sentences, front-loaded with purpose, no fluff. Every sentence adds value and is well-structured.

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 moderate complexity and presence of output schema, description covers purpose, usage, behavior, and references sibling tools. Minor gap: doesn't explicitly mention that it's for long-running processes, but still adequate.

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%, so baseline 3. The description does not add meaning beyond the schema; it merely restates the command parameter as 'Comando a ejecutar'.

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 starts a background process and returns its PID. It distinguishes from 'execute_command' by emphasizing that the process remains alive and output is buffered.

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

Usage Guidelines5/5

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

It explicitly contrasts with 'execute_command' and advises using 'read_process_output' and 'interact_with_process' for REPLs, providing clear when-to-use guidance.

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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