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carmax_search_suggestions

Get CarMax autocomplete suggestions for partial search terms. Uses typo-tolerant matching to recommend makes, models, and trims as users type.

Instructions

Get CarMax search autocomplete suggestions. Returns autocomplete suggestions for a partial search term (make/model/trim), typo-tolerant by default. Credential-free public data sourced from CarMax's own mobile-app API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchYesFree-text partial search term to get autocomplete suggestions for
exact_matchNoDisable fuzzy/typo-tolerant matching -- require an exact prefix match. Defaults to false
Behavior4/5

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

With no annotations, the description takes responsibility for behavioral disclosure. It reveals that the tool is credential-free, sources data from CarMax's mobile-app API, and is typo-tolerant by default, which adds meaningful context beyond the schema. It does not cover rate limits or return format, but for a simple autocomplete endpoint this is acceptable.

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 two sentences, front-loaded with purpose, then adds critical behavioral and source details. There is no redundant or extraneous text — every sentence earns its place.

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?

For a simple tool with two parameters and no output schema, the description covers purpose, behavior, credential requirements, and data source. It does not describe the return format, but for an autocomplete tool this is likely obvious. It is adequately complete for an agent to select and invoke the tool correctly.

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%, so the baseline is 3. The description adds some context by mentioning 'make/model/trim' and 'typo-tolerant by default,' but these are also largely implied by the schema's own descriptions. It does not significantly enrich parameter understanding beyond what the schema already provides.

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 clearly states the tool's function with a specific verb ('Get') and resource ('CarMax search autocomplete suggestions'), and adds scope details ('partial search term, make/model/trim'). This distinguishes it from sibling tools like carmax_search, which performs full searches rather than autocomplete.

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 description implies when to use the tool: when a user needs autocomplete suggestions for a partial term, especially since it highlights typo-tolerance. However, it does not explicitly mention alternatives or when not to use it, though the 'autocomplete' wording naturally differentiates from carmax_search.

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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