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marc-shade

Cluster Execution MCP Server

by marc-shade

parallel_execute

Run multiple bash commands simultaneously across a cluster, distributing tasks based on node load to speed up testing, builds, and batch processing.

Instructions

Execute multiple commands in parallel across cluster.

Distributes commands across available nodes for maximum parallelism. Use for:

  • Running test suites across multiple files

  • Parallel builds

  • Batch processing

  • Load testing

Commands are automatically distributed based on node availability and load.

Parameters:

  • commands (required): List of bash commands to execute in parallel

Returns list of results, one per command, with execution details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commandsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries burden. Mentions automatic distribution based on node availability and load, and return format, but lacks details on error handling, timeouts, or resource effects.

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

Conciseness4/5

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

Well-structured with bullet points for use cases, but slightly redundant (mentions distribution twice). Generally concise for the content.

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?

Covers purpose, usage, and basic behavior for a simple one-parameter tool, but lacks details on error handling, limits, or output schema specifics.

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

Parameters2/5

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

Schema coverage is 0%; description only repeats that commands is a list of bash commands, adding minimal meaning beyond the property name.

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?

Clearly states the action (execute multiple commands in parallel across cluster) and distinguishes from sibling tools like cluster_bash (likely single command) and cluster_status (status).

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 use cases (test suites, parallel builds, batch processing, load testing) and describes distribution behavior, but does not explicitly state when not to use or suggest alternatives.

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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