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veto_pattern_store

Recognize and persist coding patterns by category and name, boosting confidence each time a pattern is re-observed to support codebase-wide learning.

Instructions

Stores or updates a coding pattern observed in the codebase. Patterns are keyed by category.pattern-name and confidence increases with repeated observation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confidenceNoConfidence score 0.0–1.0 (default 1.0). Increases automatically on repeated observation.
pattern_keyYesPattern identifier in category.pattern-name format. Example: "code.async-pattern" or "naming.variable-case".
pattern_valYesThe observed pattern value. Example: "async/await with try/catch, no raw Promise chains".
Behavior4/5

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

Adds context beyond annotations by explaining confidence increases on repeated observation and the keying scheme, though no mention of side effects beyond the update.

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

Conciseness5/5

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

Two sentences, front-loaded with the core action, no wasted words. Efficient and clear.

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

Completeness4/5

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

Adequate for a simple store operation, but lacks output details (e.g., return value, confirmation). No output schema makes additional context beneficial.

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

Parameters4/5

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

With 100% schema coverage, the description adds meaning by explaining the key format and automatic confidence increase, enhancing the schema's parameter descriptions.

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

Purpose5/5

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

The description clearly states the tool stores or updates a coding pattern, with specific details on key format and confidence behavior, distinguishing it from siblings like veto_patterns_list.

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

Usage Guidelines3/5

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

The description implies usage when observing a pattern but lacks explicit guidance on when not to use or alternatives, leaving some ambiguity.

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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