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A2A Cosmetics

Get Market Status

get_market_status
Read-onlyIdempotent

Is this product type a cosmetic here? Product type by market: cosmetic, drug, special class (functional cosmetic, quasi-drug, grade 2, therapeutic good) or not permitted — with the rule-set version and the regulator's page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marketYes
product_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is established. The description adds the classification categories and output context, but with an output schema present this is limited extra transparency, and it does not disclose auth, rate limits, or other side-effect behavior.

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?

The description is a single compact sentence that front-loads the core question and packs the classification options and key output details into minimal words. There is no fluff or repetition.

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 simple two-string-parameter lookup with a read-only/idempotent annotation set and an output schema, the description is mostly sufficient to understand the domain and result semantics. The lack of usage guidance and explicit sibling differentiation weakens completeness, but the low complexity keeps it adequate.

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 coverage is 0%, so the description must define product_type and market itself; it does name both and gives domain categories. However, it does not specify accepted input formats or exact enumeration values for the two string parameters, leaving some guesswork for the agent.

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 frames the tool as a market-specific regulatory classification lookup, listing possible outcomes (cosmetic, drug, special class, not permitted) and mentioning the rule-set version and regulator's page. This distinguishes it from price/availability/ingredient siblings, though it lacks a direct imperative verb such as 'returns' or 'determines,' so it stops short of a 5.

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 guidance is given on when to use this tool rather than a sibling, nor are any exclusions or alternatives named. The market/regulatory context is implicit but the description never explicitly routes an agent among the many related regulatory tools.

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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