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FinchNode Synthetic Health Records

Get synthetic basic details (demographics)

get_demo_demographics
Read-onlyIdempotent

Use this to get only the basic details (demographics) of baseline-adult, one of FinchNode's 12 synthetic scenarios from Northstar Health System (Synthetic) and Quillhaven Medical Group (Synthetic): Name, birth date, sex, contact information, normalized from FHIR R4 Patient. No account or API key. To get basic details together with other categories, call get_demo_health_record once instead of calling several of these tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
recordYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changed
    • removedOutput schema / properties / record / properties / consent / properties / receiptIds / maxItems
      Removed value: -0
    • removedOutput schema / properties / record / properties / consent / properties / receiptIds / minItems
      Removed value: -0
    • removedOutput schema / properties / record / properties / consent / properties / receipts / maxItems
      Removed value: -0
    • removedOutput schema / properties / record / properties / consent / properties / receipts / minItems
      Removed value: -0
    • removedOutput schema / properties / record / properties / id / const
      Removed value: -"patient-demo-001"
    • addedOutput schema / properties / record / properties / id / enum
      Added value: +[
      +  "patient-demo-001",
      +  "patient-demo-polypharmacy",
      +  "patient-demo-pediatric-asthma",
      +  "patient-demo-multi-source",
      +  "patient-demo-sparse",
      +  "patient-demo-messy-coding",
      +  "patient-demo-rate-limited",
      +  "patient-demo-consent-revoked",
      +  "patient-demo-consent-partial",
      +  "patient-demo-source-unavailable"
      +]
    • removedOutput schema / properties / record / properties / meta / properties / syncStatus / const
      Removed value: -"simulated"
    • addedOutput schema / properties / record / properties / meta / properties / syncStatus / enum
      Added value: +[
      +  "simulated",
      +  "partial"
      +]
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description does not need to repeat those. It adds useful behavioral context beyond annotations: no account/API key required, data is synthetic, and the output is normalized from FHIR R4 Patient. These details help the agent set expectations for access and data shape.

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 compact and front-loaded with the core purpose in the first sentence. Every sentence adds value: field list defines scope, synthetic source sets expectations, and the final sentence gives a clear alternative. No filler or redundant restatement.

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?

With a present output schema, empty input schema, and strong safety annotations, the description covers all remaining decision-relevant context: synthetic environment, authentication-free access, normalized format, and the aggregate alternative. Nothing needed for correct invocation is missing.

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 tool has zero parameters and the schema description coverage is 100%, so there is no parameter documentation burden. The baseline for zero parameters is 4; the description adds relevant context by noting there is no account or API key, which is the only access-related requirement an agent might otherwise look for.

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 a specific verb and resource: 'get only the basic details (demographics)' and lists the exact fields returned (Name, birth date, sex, contact information). It also defines the data source and scenario context, which distinguishes it clearly from sibling category-specific tools.

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?

The description explicitly frames when to use it: 'Use this to get only the basic details.' It also names the alternative, get_demo_health_record, and gives the exact condition for choosing that tool instead, which fully covers routing behavior.

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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