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Crawlora MCP

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pandamart_store

Get a pandamart darkstore's details by store code: name, address, coordinates, budget tier, delivery fees, and availability. Optional latitude/longitude refine computed fields for that location.

Instructions

Get one pandamart darkstore's detail. Returns one pandamart darkstore's detail by code: name, address, coordinates, budget tier, chain, minimum order amount, minimum delivery fee, delivery/pickup availability, timezone, and a hero image. Supplying latitude and longitude only affects the (optional) computed fields the upstream itself returns for that coordinate; it does not filter or reject the lookup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesDarkstore code, from /pandamart/search's code field
marketNoDelivery Hero market the store belongs to. One of sg, pk, bd, hk, my, ph. Defaults to sg.
latitudeNoCaller latitude, optional
longitudeNoCaller longitude, optional

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.2

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and largely succeeds: 'Get'/'Returns' implies a read-only operation, and it explicitly clarifies that latitude/longitude only affect optional computed fields and do not filter or reject the lookup. It does not discuss failure modes or edge cases, but it avoids misleading claims.

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?

The description is compact and mostly front-loaded, but the first two sentences essentially repeat 'pandamart darkstore's detail.' This minor redundancy keeps it from a 5, though the list of returned fields and the latitude/longitude clarification are valuable and directly stated.

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?

There is no output schema and no annotations, but the description compensates by listing the key return fields and the conditional behavior of optional coordinates. It does not cover error conditions or response structure, but for a detail-by-code tool the provided information is adequately complete.

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?

Schema coverage is 100%, so the baseline is 3. The description adds semantics beyond the schema by explaining that latitude/longitude never filter or reject the lookup, only influence computed fields. This is meaningfully helpful for correct invocation.

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?

The description states a specific verb and resource: 'Get one pandamart darkstore's detail by code.' It also enumerates the returned fields, so an agent can immediately distinguish this from search/suggest siblings like pandamart_search or pandamart_store_products.

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?

The phrase 'by code' clearly communicates this is for fetching a specific store after obtaining its code, and the latitude/longitude disclaimer prevents misuse. It does not explicitly name the alternative search path, so it falls short of a 5, but the intended context is clear.

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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