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openemr_health_trajectory

Aggregate patient lab, vital, and questionnaire trends to detect clinical drift and generate alerts.

Instructions

Aggregate all metric trajectories (labs, vitals, questionnaires) and compute clinical drift alerts for a patient.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patient_idYesOpenEMR patient ID
window_monthsNoLookback window in months (default 24)
metricsNoSubset of metrics to include (default: all)
Behavior3/5

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

Adds behavioral context by mentioning aggregation and alerts, but no annotations provided and does not disclose read-only nature or any side effects.

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?

Single sentence, concise, front-loaded with purpose.

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

Completeness3/5

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

Description covers purpose but lacks output format details and prerequisites; no output schema to compensate.

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 description adds no additional parameter meaning beyond what schema already provides.

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?

States it aggregates metric trajectories and computes clinical drift alerts for a patient, clearly differentiating from sibling trend-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 Guidelines3/5

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

Implies use for aggregated overview and alerts, but lacks explicit guidance on when to use vs individual trend tools or when not to use.

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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