Get FineRx dataset coverage, freshness, and the attribution/disclaimer terms.
Returns dataset counts (drugs, products, prices, chains, savings programs, pharmacy locations), the latest observation date, and the terms every consumer must honor (attribution + disclaimer).
| Name | Required | Description | Default |
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No arguments | |||
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Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint. Description adds what is returned (counts, latest date, attribution/disclaimer terms) and that terms are mandatory for consumers. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no wasted words. Front-loaded with purpose, then lists specific return elements. Efficient and clear.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers the main functionality for a metadata tool with no parameters and an existing output schema. Could mention that it's read-only or idempotent, but annotations already cover that.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters in input schema and schema coverage is 100%. Description doesn't need to add parameter details. Baseline of 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool retrieves FineRx dataset metadata including coverage, freshness, and terms. It distinguishes from siblings which focus on prices, pharmacies, and drugs. Verb 'Get' and resource 'dataset info' match the tool name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implied usage for obtaining dataset coverage and terms, but no explicit when-to-use or when-not-to-use guidance. Siblings are listed but no direction on choosing this over alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool serves a distinct function: searching drugs, getting drug details, comparing prices, finding pharmacies, and retrieving dataset metadata. There is no overlap in purpose.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., search_drugs, compare_prices, get_drug), making the set predictable and easy to navigate.
With 5 tools, the server is well-scoped for a drug pricing API. Each tool addresses a specific step in the typical workflow (search, details, price comparison, location, metadata), and the count is neither too small nor excessive.
The toolset covers the core workflow: search drugs, retrieve drug details, compare prices, find pharmacies, and obtain dataset info. A minor gap is that the mechanism to obtain an NDC from a drug is implied but not explicitly detailed, though the flow likely works.