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arai_list_guards

Lists active guardrails with optional substring filter. Returns subject/predicate/object triples and source files to reveal live constraints before tool calls.

Instructions

List currently active guardrails, optionally filtered by a substring. Returns subject/predicate/object triples plus their source files so the agent can see what constraints are live before making a tool call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternNoOptional case-insensitive substring match against subject/object.
Behavior3/5

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

With no annotations, the description partially discloses behavior (read-only list, optional filter, return format). However, it does not explicitly confirm it is non-destructive or mention any potential side effects or limitations like pagination.

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, no wasted words. The first sentence states the core function, the second adds output details and purpose—efficient and well-structured.

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?

For a simple list tool with one optional parameter and no output schema, the description is mostly complete. It covers purpose, filtering, and output format. Minor gaps: no mention of result limits or non-destructive nature.

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?

The input schema has 100% coverage with a clear description of 'pattern'. The tool description adds value by explaining the filtering is case-insensitive and matches against subject/object, complementing the schema.

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 lists active guardrails with an optional substring filter. It mentions the return format (subject/predicate/object triples plus source files) and distinguishes from sibling tools that add guards, check actions, or list recent decisions.

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

Usage Guidelines4/5

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

The description implies usage before making a tool call to see live constraints. It provides clear context but does not explicitly state when not to use or compare to siblings, 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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