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FinchNode Synthetic Health Records

Get synthetic lab results (labs)

get_demo_labs
Read-onlyIdempotent

Use this to get only the lab results (labs) of baseline-adult, one of FinchNode's 12 synthetic scenarios from Northstar Health System (Synthetic) and Quillhaven Medical Group (Synthetic): Laboratory observations and reports, normalized from FHIR R4 Observation, DiagnosticReport. No account or API key. To get lab results 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 cover safety (readOnly, idempotent, non-destructive). The description adds useful context: it's a synthetic scenario, requires no account/API key, and data is normalized from FHIR R4. This goes beyond annotations without contradicting them.

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 with no filler. The purpose and usage are front-loaded, and the alternative is given in the second sentence. Every phrase adds value.

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?

For a no-param getter with an output schema, the description fully covers what it returns, the scenario, source systems, auth requirements, and the alternative for combined data. Nothing an agent needs 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, so schema coverage is 100% by default. The description doesn't need to explain parameters; it correctly focuses on the data scope. Per baseline for 0-param tools, a 4 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 verb 'get' and the resource 'lab results (labs)', specifies the scenario 'baseline-adult' and the source systems. It differentiates from siblings by naming the alternative get_demo_health_record and stating the scope is only labs.

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 states when to use this tool ('get only the lab results') and when not to (for combined categories, use get_demo_health_record). This provides clear routing among siblings.

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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