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Crawlora MCP

instacart_search

Read-only

Instacart search-term autosuggestions for a keyword within one store, each with a representative thumbnail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYes
shop_idYes
store_slugYes

Output Schema

TableJSON 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

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description adds output context (autosuggestion terms, each with a thumbnail), but says nothing about result count, ordering, or rate limits.

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?

A single efficient sentence that front-loads the resource and scope before the output detail. No wasted words, though it is arguably too terse for a three-parameter tool.

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?

An output schema exists, so return values need not be described. However, with 0% parameter coverage and no usage guidance, the description leaves the agent without enough to correctly supply shop_id and store_slug.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for three required parameters. The description loosely maps 'keyword' to q and 'one store' to the store fields, but it never distinguishes shop_id from store_slug or explains their format, leaving the agent to guess at required identifier semantics.

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 names a specific resource (Instacart search-term autosuggestions) and scope (a keyword within one store), and adds that each result carries a representative thumbnail. It implicitly differentiates from instacart_search_nearby via 'within one store', though it never names the sibling explicitly.

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 prerequisites, and no alternatives named. The phrase 'within one store' hints that store context is required, but the agent gets no instruction on when to pick this over instacart_search_nearby or instacart_trending.

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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