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validate_order

Validates medication orders by verifying drug code, dose, route, frequency, and patient kidney function to prevent prescription errors before submission.

Instructions

Validate a medication order before submission. Agent contract: use structuredContent as the source of truth; preserve schema_version/status/sources/warnings/errors/meta when forwarding the result and never infer missing clinical facts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doseYes
routeYes
localeNoBCP 47 locale for labels and messages (for example zh-TW).zh-TW
dose_unitYes
drug_codeYes
frequencyYes
patient_crclNo
output_formatNoText rendering. structuredContent always follows the versioned outputSchema.json

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaYes
errorsYes
statusYes
sourcesYes
warningsYes
schema_versionYes
Behavior3/5

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

The agent contract discloses key behaviors: using structuredContent as source of truth and preserving certain fields. However, without annotations, it fails to mention whether validation is read-only or if any side effects exist.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two clear sentences, front-loading the core purpose. The agent contract adds useful behavioral context but could be shortened or separated.

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

Completeness2/5

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

Despite the output schema existing, the description omits what validation checks are performed, error handling, prerequisites, or the overall workflow context. For an 8-parameter tool, this is incomplete.

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

Parameters2/5

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

Schema description coverage is only 25%, and the description adds no meaning for the 6 undocumented parameters (drug_code, dose, dose_unit, route, frequency, patient_crcl). It relies entirely on parameter names, which is insufficient for a 5-required-param tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Validate a medication order before submission' with a specific verb (validate) and resource (medication order). It distinguishes from siblings like submit_order and check_drug_interaction by focusing on pre-submission validation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives such as check_drug_interaction or submit_order. The agent contract is about response handling, not usage context.

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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