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Valentine's Day Gifts – hand-picked gift ideas

Health & marketplaces

get_health
Read-only

Health check for Valentine's Day gift inspiration. Returns ok, storage, paapi, trackingTag, defaultDomain, catalogCount, tagConfigured, and marketplaces[] (domain, label, tagConfigured). Use this first to discover supported Amazon storefronts. OpenAPI: getHealth.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is known. The description adds genuine value by disclosing the full response payload without an output schema, including the nested marketplaces[] shape (domain, label, tagConfigured). It stops short of explaining what a failing paapi/storage status implies or what errors look like.

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?

Three short sentences, front-loaded with the operation and immediately followed by the return contract. The phrase "for Valentine's Day gift inspiration" is marketing-flavored filler that adds no operational meaning, though it is not costly.

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?

With no output schema and no parameters, the description carries the return-value burden itself and does so thoroughly by naming every field. The remaining gap is the unresolved overlap with list_marketplaces, which matters because the tool is explicitly recommended as a discovery entry point.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline of 4 applies; the field list is informational output detail rather than parameter guidance.

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?

States a specific operation (health check) and enumerates the payload it returns (ok, storage, paapi, trackingTag, defaultDomain, catalogCount, tagConfigured, marketplaces[]), so an agent knows exactly what it gets. It is less clear against the sibling list_marketplaces, since both apparently surface storefront data and the description never explains the difference.

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?

"Use this first to discover supported Amazon storefronts" gives one directive use case, which is more than no guidance. But it offers no exclusions and does not say why an agent should pick this over list_marketplaces for the same information, leaving the main routing decision 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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