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get_store_products

Retrieves product listings for a specified store, with optional filtering by keyword and price range to narrow results.

Instructions

List the products a specific Toco store sells, with optional keyword and price filtering. Takes the store short name or a full toco.id/store/... URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default: 1)
sortNoSort order (default: relevance)relevance
limitNoResults per page (default: 20)
queryNoOptional keywords to search within the store
storeYesStore short name or full toco.id/store/... URL
maxPriceNoMaximum price in IDR
minPriceNoMinimum price in IDR

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations, the description should disclose behavior. It mentions filtering and input format but does not state whether the operation is read-only, describe pagination behavior, or explain output/error expectations.

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, focused sentence that front-loads the primary purpose and then mentions key filtering options and input format. No superfluous content.

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?

Given the simple list operation and full schema coverage, the description plus schema provides enough for an agent to make a correct call. It lacks explicit guidance on output shape or error handling, but these are not critical for such a tool.

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 descriptions cover all 7 parameters (100% coverage), so the baseline applies. The description adds minimal extra meaning beyond the schema, such as noting 'optional' filtering, but does not clarify edge cases like price inclusivity.

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 lists products for a specific store, with keyword and price filtering, and specifies the store input format. It is distinct from global search tools but does not explicitly name alternatives.

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 implies usage for a specific store's catalog but does not explicitly direct users to sibling tools like search_products for global searches or search_stores for store discovery. Guidance is largely implicit.

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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