delimit_data_validate

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

No annotations are provided, so the description carries the full burden. It names the types of validation but does not disclose whether the operation is read-only, what side effects exist, or what happens on failure. This is insufficient for an agent to understand the behavioral impact.

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 sentence with a clear structure: verb and examples. It is front-loaded and contains no extraneous words. Every part earns its place.

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 complexity (multiple validation types) and that an output schema exists, the description provides the core purpose but lacks detail on error handling, output format, or what 'integrity check' entails. It is minimally adequate but leaves gaps.

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?

There is one parameter ('target') with 100% schema description coverage. The tool description adds no information about the parameter beyond what the schema already provides ('Directory or file path containing data files.'). Thus, it does not enhance understanding beyond the baseline.

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 validates data files and specifies three types of validation (JSON parse, CSV structure, SQLite integrity check). It uses a specific verb-resource pair and distinguishes from sibling data tools like backup and migrate, though it does not explicitly contrast with them.

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, no prerequisites, and no exclusions. It does not mention when validation is appropriate or when other data tools might be better suited.

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