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Drugbank Drug Names

drugbank_drug_names
Read-onlyIdempotent

Look up a drug by name or product. Resolves a query string to matching DrugBank drugs/products and their DrugBank IDs. Example: drugbank_drug_names({ query: "lipitor", _apiKey: "your-key" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesDrug or product name to search for, e.g. "lipitor", "atorvastatin".
_apiKeyYesDrugBank API key (commercial; trial keys at dev.drugbank.com).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is clear. The description adds that the tool resolves a query string to matching drugs/products and their IDs, but it doesn't disclose matching semantics, result limits, or behavior when no matches are found.

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 and front-loaded with the main purpose. The example is helpful but somewhat redundant given the schema already provides examples, so it doesn't add enough to warrant a 5.

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

Completeness4/5

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

For a simple two-parameter read-only lookup with strong annotationsches, the description is largely complete: it states the input, the operation, and the output (matching drug IDs). It could be more complete by clarifying whether the query supports partial/fuzzy matches or returns a limit of results, but these are not critical for correct invocation.

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%, so both parameters are already well documented. The description adds a concrete example but no additional meaning beyond the schema, which is the baseline expectation.

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 the tool looks up a drug by name or product and resolves queries to DrugBank drugs/products with their IDs. It is specific, but it doesn't explicitly distinguish itself from the sibling drugbank_drug tool, so the differentiation is implied rather than stated.

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?

The description gives clear context for when to use the tool: when you have a drug name or product query and need matching DrugBank IDs. However, it doesn't mention exclusions or alternatives, such as using drugbank_drug for fetching full drug details by ID instead.

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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