claude_code

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does describe some behavioral traits like timeout handling ('split the task into smaller steps'), analysis-only mode ('no actual file modifications should be made'), and task orchestration patterns. However, it doesn't cover important aspects like authentication requirements, rate limits, error handling, or what happens when operations fail.

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

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

The description is excessively long (over 500 words) with multiple sections, bullet points, and promotional language ('it might surprise you!', 'Claude can do much more, just ask it!'). While well-structured with clear categories, it contains redundant information and marketing fluff that doesn't help an AI agent select and invoke the tool correctly.

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

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

For a complex 6-parameter tool with no annotations and no output schema, the description provides substantial context about capabilities and usage patterns. However, it lacks critical information about return values, error conditions, and operational constraints. The description compensates somewhat for the lack of structured metadata but leaves important gaps for a tool of this complexity.

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

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

Schema description coverage is 100%, so the schema already documents all 6 parameters thoroughly. The description adds some context about 'workFolder' ('Mandatory when using file operations') and mentions 'parentTaskId' and 'returnMode' in the task orchestration section, but doesn't provide significant additional semantic meaning beyond what's already in the schema descriptions.

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

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

The description clearly states this is a 'versatile multi-modal assistant for code, file, Git, and terminal operations via Claude CLI' and provides specific examples of what it can do (file operations, code generation/analysis, Git workflows, terminal commands, web search, etc.). It distinguishes itself from sibling tools like 'convert_task_markdown' and 'health' by being a comprehensive execution tool rather than a specialized converter or health checker.

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

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

The description provides clear context for when to use this tool (for code, file, Git, terminal operations, web search, multi-step workflows, GitHub integration, task orchestration) and includes specific prompt tips. However, it doesn't explicitly state when NOT to use it or provide clear alternatives to sibling tools, though the broad scope makes alternatives less relevant.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.