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pandamart_store_product

Read-only

Fetch full pandamart product detail by product ID, including category and per-unit pricing or nutrition for weighable goods. Use pandamart_store_products to browse store inventory.

Input Schema

NameRequiredDescriptionDefault
codeYesDarkstore code, from a search response's code field (required).
marketNoDelivery Hero market the store belongs to. One of sg, pk, bd, hk, my, ph. Defaults to sg.
product_idYesProduct ID, from a search/products/categories response's id field (required).

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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 covered. The description adds useful content context ('including category and per-unit pricing or nutrition for weighable goods') but discloses no additional behavioral traits such as rate limits, auth needs, or market-scoping effects. With annotations carrying the safety burden, a 3 is appropriate.

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?

Two economical sentences: the purpose and content scope are front-loaded, followed by the sibling routing hint. Every clause earns its place with no redundancy.

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?

An output schema exists, so return-value documentation is unnecessary, and annotations cover safety. The description is sufficient to select and invoke the tool. It could be marginally richer about how the required code/product_id relate to prior search calls, but nothing essential is missing.

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 description coverage is 100%, with all three parameters documented in the schema (code's origin, market enum/default, product_id's origin). The description adds only the loose phrase 'by product ID,' giving no syntax or format detail beyond what the schema provides, so the baseline 3 holds.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Fetch full pandamart product detail by product ID') and the scope of what is returned (category, per-unit pricing, nutrition for weighable goods). It clearly distinguishes itself from the sibling pandamart_store_products, which is described as browsing inventory rather than fetching a single product.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly names an alternative and the condition selecting it: 'Use pandamart_store_products to browse store inventory.' This gives clear routing context. It stops short of a full when/when-not matrix (e.g., distinguishing from pandamart_store_search or pandamart_store_categories), so it is strong but not exhaustive.

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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