build_regex

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

A dedicated 'Behavioral Transparency' section details side effects (read-only), authentication, rate limits, error handling, idempotency, and data privacy, fully compensating for the absence of annotations.

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 well-structured with clear sections but is verbose and contains redundant information between 'Behavior' and 'Behavioral Transparency' sections. Could be more concise.

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 no output schema, the description covers input parameters, behavior, errors, and limitations well. However, it lacks explicit description of the return structure beyond mentioning 'structured output' and error objects, which is a minor gap.

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 'Args' section provides brief descriptions that largely restate parameter names. However, the description adds value by listing example pattern types for 'pattern_type', but does not fully compensate for 0% schema coverage, especially for 'custom_options' which lacks format constraints.

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 builds common regex patterns and lists specific types, including custom patterns. It distinguishes from siblings like explain_regex, extract_matches, and test_regex by focusing on pattern construction.

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?

Explicit 'When to use' and 'When NOT to use' sections provide clear guidance on appropriate contexts and limitations, such as not for real-time production decisions without human review.

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