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XlogicX

regex-quality

by XlogicX

gen_benign

Generate a minimal string that quickly matches a given regex pattern to establish a performance baseline.

Instructions

Generate a minimal string that pattern matches quickly (the baseline).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
engineNopython
patternYes
timeout_msNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden for behavioral disclosure, but it only mentions that the generated string is minimal and matches quickly. It does not cover timeout behavior, engine defaults, failure modes, or how 'minimal' is defined, leaving significant transparency gaps.

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?

The description is a single, front-loaded sentence with no fluff, effectively conveying the core action. However, it is under-specified for a tool with three parameters, though that lack is captured in other dimensions.

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?

While an output schema exists, the description omits usage context, parameter details, and behavioral notes. The tool is relatively simple, but the combination of no annotations, 0% schema coverage, and minimal description leaves the agent without enough information to select and invoke it confidently.

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

Parameters2/5

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

Schema description coverage is 0%, and the description only references 'pattern' implicitly ('*pattern* matches quickly'). The 'engine' and 'timeout_ms' parameters are not mentioned at all, providing insufficient semantic context for parameter usage.

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 generates a minimal string that matches a pattern quickly, with 'the baseline' hinting at its role as the benign counterpart to gen_evil. The verb 'generate' and resource 'string' are specific, though sibling differentiation relies on implication rather than explicit contrast.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like gen_evil or redos_bench. The term 'baseline' implies a comparison but does not explicitly state usage scenarios, prerequisites, or exclusions.

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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