validate_config

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool validates for 'syntax and structure errors,' which implies a read-only, non-destructive operation, but doesn't confirm this explicitly. It lacks details on permissions, rate limits, output format, or error handling, leaving gaps in understanding how the tool behaves.

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 a single, efficient sentence that front-loads the core purpose without unnecessary details. It uses clear language and avoids redundancy, making it easy to parse quickly. Every word earns its place, adhering to best practices for conciseness.

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?

Given the tool's moderate complexity (validation of config files), lack of annotations, and no output schema, the description is minimally adequate. It covers what the tool does but misses behavioral context and usage guidance. For a tool with no structured safety or output information, it should provide more completeness, such as explaining return values or error conditions.

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?

The input schema has 100% description coverage, with the 'configs' parameter fully documented in the schema. The description adds minimal value beyond the schema, as it doesn't elaborate on parameter usage, constraints, or examples. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate with additional semantic insights.

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 the tool's purpose: 'Validate one or more devpipe config.toml files for syntax and structure errors.' It specifies the verb (validate), resource (devpipe config.toml files), and scope (syntax and structure errors). However, it doesn't explicitly differentiate from sibling tools like 'check_devpipe' or 'analyze_project', which might have overlapping validation functions.

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 no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'check_devpipe' or 'analyze_project', nor does it specify prerequisites, exclusions, or contextual cues for selection. The agent must infer usage based on the tool name and description alone.

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