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HealthClawGuardrails

by aks129
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Generate SMART Health Link

shl_generate

Create a SMART Health Link (shlink:/ QR) to share a patient's record with a clinic. Encrypts data client-side, requires step-up auth, and returns share and patient manage links.

Instructions

Generate a SMART Health Link (shlink:/ QR payload) sharing the patient's record with a clinic. Fetches the guardrailed share-bundle from HealthClaw (step-up required — pass _stepUpToken), encrypts it client-side (the SHL server never sees plaintext), uploads ciphertext, and returns the shlink URI, viewer link, and the patient's private manage link. ALWAYS get the patient's explicit consent before generating, and deliver the manage link ONLY to the patient.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelNoShort label shown in SHL viewers (<=80 chars), e.g. 'Records for Winters Healthcare'. No PHI beyond what the patient approves.
profileNointake = identified record for clinic check-in (default); deidentified = strips name/contact/institutional IDs
patient_idNoOptional patient id filter for multi-patient tenants
expires_in_daysNoLink lifetime in days (default 7, max 90)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.8.0

TDQS

A4.5/5.0
Behavior5/5

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

The description adds substantial context beyond annotations: step-up token requirement, client-side encryption (SHL server never sees plaintext), ciphertext upload, and returned link types. It also warns about consent and manage link delivery. No contradiction with annotations.

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?

The description is concise and well-structured: it states the main action, outlines step-by-step, and ends with important usage warnings. Every sentence earns its place with no redundancy.

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?

Despite no output schema, the description explains return values (shlink URI, viewer link, manage link). It provides sufficient context for correct usage, including consent and delivery instructions. The tool complexity is moderate and the description fully addresses it.

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

Parameters3/5

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

Schema coverage is 100% and all parameters are described in the schema. The description does not add additional meaning beyond what the schema provides, so baseline 3 is appropriate.

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 generates a SMART Health Link and explains the process: fetching a share-bundle, client-side encryption, upload, and returning URIs. It uses specific verbs and resource, distinguishing it from siblings like FHIR tools.

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 provides explicit consent requirement and instruction to deliver the manage link only to the patient. It implicitly guides when to use (sharing patient record with a clinic) but lacks explicit alternatives or when-not-to-use conditions.

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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