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rshade
by rshade

analyze_command

Execute a command and get AI-driven analysis with recommendations for fixing failures, optimizing workflows, and identifying issues.

Instructions

Execute a command and analyze the result with AI-powered smart suggestions. Provides intelligent recommendations for fixing failures, optimizing workflows, and identifying issues.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsNoAdditional command arguments
commandYesCommand to execute and analyze
contextNoAdditional context for better suggestions
timeoutNoCommand timeout in milliseconds
directoryNoWorking directory for the command
Behavior2/5

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

No annotations provided, and the description does not disclose side effects, permission requirements, error handling, or output format. For a command execution tool, critical behavioral details are missing.

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?

Two sentences, front-loaded with key function. Efficient but could be slightly more concise without losing clarity.

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

Completeness2/5

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

No output schema, and description lacks details on behavior like output format, error handling, or timeout implications. For a tool with 5 parameters and potential side effects, more completeness is needed.

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?

Input schema has 100% coverage; parameters are described in schema. The description adds no additional meaning beyond the schema, so baseline of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the tool executes a command and provides AI-powered analysis, with a specific verb and resource. However, it does not explicitly differentiate from siblings like 'analyze_result' or other execution tools, though the name and context imply uniqueness.

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 implies use for running commands with analysis but lacks explicit guidance on when to use vs. alternatives, no exclusions or prerequisites mentioned.

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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