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Get Safety Label

get_safety_label

Safety label pointers for licensed products (label page and the pharmacovigilance scheme of the jurisdiction).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
substanceYes
jurisdictionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The phrase 'pointers' suggests the tool returns references rather than full label content, and the pharmacovigilance scheme element adds jurisdiction-specific behavior. However, with no annotations, the description does not disclose whether the operation is read-only, requires authorization, or what happens when no licensed product exists.

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?

A single sentence with no padding; every word contributes to the core meaning.

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?

Given no annotations and 0% schema coverage, the description omits usage guidance and parameter semantics, leaving critical gaps for an agent to call the tool correctly. The existence of an output schema does not remedy these gaps.

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

Parameters1/5

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

The input schema has no descriptions and the tool description mentions only 'jurisdiction' contextually, providing no meaning for 'substance' or expected formats. With 0% schema coverage, the description fails to compensate.

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 identifies the resource as 'safety label pointers' for licensed products and mentions jurisdiction-specific pharmacovigilance scheme, which conveys the tool's function. However, it does not explicitly distinguish this from the sibling get_label_and_indication, so an agent might not know which to pick.

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?

There is no information about when to use this tool versus alternatives such as get_label_and_indication, nor any mention of prerequisites or selection criteria. The description only states what it returns, leaving usage decisions to inference.

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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