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instacart_search

Read-only

Fetch Instacart search-term suggestions for a keyword within one store, including representative thumbnails. Use instacart_search_nearby for product results near a location, instacart_item for one item, or instacart_stores to find stores.

Input Schema

NameRequiredDescriptionDefault
qYesFree-text search term
shop_idYesStore's opaque shop id, from GET /instacart/stores
store_slugYesStore's retailer slug, from GET /instacart/stores

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. Changed3 schema fields changed
    • addedInput schema / properties / q / description
      Added value: +"Free-text search term"
    • addedInput schema / properties / shop_id / description
      Added value: +"Store's opaque shop id, from GET /instacart/stores"
    • addedInput schema / properties / store_slug / description
      Added value: +"Store's retailer slug, from GET /instacart/stores"
  2. First observed

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description adds the store-scoped, suggestion-level nature of results and mention of thumbnails, but says nothing about pagination, auth, or rate limits. With annotations carrying the safety profile, this is adequate but not rich.

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 sentences, purpose front-loaded before the routing sentence, with no redundant or filler text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A read-only search tool with annotations covering safety, full parameter documentation, and an output schema that explains return values. Nothing an agent needs to invoke it correctly 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 coverage is 100%, documenting q, shop_id, and store_slug including their source endpoint. The description only implies keyword and store scope and adds no syntax or format detail beyond the schema, so baseline 3 applies.

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 (Fetch) plus resource (Instacart search-term suggestions), scoped to a keyword within one store, and even notes the thumbnail payload. It is clearly distinguishable from sibling search tools that return products or stores.

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

Usage Guidelines5/5

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

Explicitly routes the agent to alternatives with conditions: instacart_search_nearby for product results near a location, instacart_item for one item, instacart_stores to find stores. When-to-use-both-this-and-that is fully covered.

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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