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arai_check_action

Check tool calls against guardrails before executing to prevent deny-and-retry loops. Simulates rule matching with severity outcome.

Instructions

Probe whether a hypothetical tool call would match any active guardrail — without executing the call or writing to the audit log. Use BEFORE taking an action you think might be regulated to avoid a deny-and-retry loop. Returns matched rules with severity (block / warn / inform) and source file:line, exactly the same shape arai_recent_decisions returns for actual firings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventNoHook event to simulate. Defaults to PreToolUse.
toolYesTool name to simulate (Bash, Edit, Write, etc). Required.
tool_inputYesTool input object — same shape Claude Code would send. e.g. for Bash: {"command": "git push --force"}; for Edit/Write: {"file_path": "src/x.py", "content": "..."}.
Behavior5/5

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

No annotations provided, so description carries full burden. It clearly states the tool does not execute the call or write to audit log, and describes return shape (matched rules with severity and source) — no hidden behaviors.

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 well-crafted sentences: first explains core purpose, second provides usage context and return shape. No fluff, every sentence earns its place.

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

Completeness5/5

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

No output schema, but description explains return value shape by referencing sibling tool arai_recent_decisions. All dimensions of usage are covered.

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

Parameters5/5

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

Schema coverage is 100% and description adds examples for tool and tool_input, explains event default, and clarifies required fields. This adds meaningful context beyond 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 states it probes whether a hypothetical tool call matches any active guardrail without executing or auditing, and it distinguishes from siblings like arai_add_guard, arai_list_guards, arai_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 Guidelines5/5

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

Explicitly says 'Use BEFORE taking an action you think might be regulated to avoid a deny-and-retry loop', providing clear when-to-use guidance and hints at the problem it solves.

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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