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aks129

HealthClawGuardrails

Guardrail Conformance Scorecard

guardrail_conformance
Read-only

Run a self-test to grade your HealthClaw deployment on seven guardrail properties including PHI redaction and tenant isolation. Returns a scorecard using synthetic data.

Instructions

Run the guardrail conformance self-test on the connected HealthClaw deployment and return the graded scorecard across seven guardrail properties: PHI redaction, immutable audit, step-up auth, human-in-the-loop, tenant isolation, medical disclaimers, and error fidelity. Uses synthetic data only. Set fresh=true to force a new run instead of the cached result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
freshNoForce a fresh probe run instead of the cached (<=10 min old) result
Behavior4/5

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

Annotations already declare readOnlyHint and destructiveHint false. The description adds that the tool uses synthetic data only and may return cached results (with a 10-minute staleness). It does not mention specific auth requirements or error behavior, but the annotations cover the safety profile.

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: the first states the main purpose and enumerates the seven guardrail properties; the second explains the lone optional parameter. No wasted words, front-loaded with the core action.

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?

Given no output schema, the description lists the seven properties in the scorecard, which provides sufficient expectation. It also explains caching and synthetic data. However, it lacks prerequisites or error conditions, which are not critical for a self-test tool.

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?

Schema coverage is 100% for the single 'fresh' parameter. The description adds context that the cached result is <=10 minutes old and that setting fresh=true forces a new run, which goes beyond the brief schema description.

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 runs a guardrail conformance self-test and returns a graded scorecard across seven specific properties. It distinguishes itself from the numerous sibling tools, none of which perform a similar guardrail check.

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 implicitly indicates when to use (to check guardrail conformance) and includes a note about synthetic data, but does not explicitly state when not to use or discuss alternatives. The uniqueness among siblings reduces the need for explicit 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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