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List store coupons

list_store_coupons
Read-only

Active coupon codes of a store on Pechincha.ai. Content in Brazilian Portuguese.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
storeYesStore slug from list_stores, e.g. "amazon"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
storeYesStore name, null when the slug does not exist
totalYes
couponsYesDeals with a coupon code

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds two real behavioral facts beyond that: only *active* coupons are returned, and the content is in Brazilian Portuguese, which is useful context for result interpretation.

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?

Two short, front-loaded sentences with no filler. It is terse to the point of omitting any usage context, but nothing is wasted.

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 single-parameter read tool with an output schema and full annotation coverage, the essentials are present: what is returned, the active-only filter, and the content language. Usage routing and result format are the only gaps, and the latter is covered by the output schema.

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 100% and the single 'store' parameter is fully documented in the schema, including the slug format and a pointer to list_stores. The description adds no parameter detail beyond that, so the baseline of 3 applies.

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 verb+resource: active coupon codes belonging to a store. It clearly identifies the entity being listed, though it does not explicitly contrast itself with siblings like get_deal or search_deals.

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 when-to-use guidance, no mention of prerequisites, and no routing to alternatives. The only hint is the implicit 'of a store' scoping, which is left for the agent to infer.

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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