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get_packages
Read-onlyIdempotent

The package NDCs that belong to a Pillwise drug id.

Input Schema

NameRequiredDescriptionDefault
idYesA Pillwise drug id, like pw_d_….
as_ofNoOptional. Answer as of this day (YYYY-MM-DD) or instant (RFC 3339), up to a year back.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / as_of / description
      Previous value: -"Optional. Answer as of this day (YYYY-MM-DD) or instant (RFC 3339), within retained snapshots."New value: +"Optional. Answer as of this day (YYYY-MM-DD) or instant (RFC 3339), up to a year back."
  2. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so safety is covered. The description adds nothing on top: it does not say whether multiple packages come back, how the as_of historical lookup behaves, or what an empty result means. For a read tool with full annotation coverage this is thin but not contradictory.

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?

A single short clause with zero padding, and the key concept (package NDCs) is front-loaded. It reads as a sentence fragment rather than a complete statement of action, which costs a point.

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?

For a two-parameter read tool with no output schema, the description covers the core intent and the schema covers the parameters. It leaves open what a 'package NDC' contains and whether the result is a list of strings or objects, which an agent calling it cold would want to know.

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 description coverage is 100% and both parameters (id, as_of) are documented in the schema with format examples. The description only echoes the id parameter in prose and says nothing about as_of, so it neither compensates nor detracts; baseline 3 applies.

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 states a specific resource and relationship: package NDCs belonging to a Pillwise drug id. An agent can tell it returns a collection of package-level NDC identifiers, though the verb is implicit and it never contrasts itself with siblings like get_form_options or lookup_ndc.

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?

No when-to-use guidance, no prerequisites, and no alternatives named. The agent must infer from the name and the required id parameter that this is the tool to reach for when it already holds a pw_d_ identifier.

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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