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digikey_search_parts

Search DigiKey parts using natural language queries, get detailed product information, and preserve trade-offs for informed decisions.

Instructions

Search DigiKey candidates using a natural-language query, enrich the shortlist with authoritative ProductDetails, and preserve evidence-backed trade-offs. Offline results are synthetic and never purchase-ready.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNooffline
limitNo
queryYes
quantityNo
page_countNo
requirementsNo
filter_optionsNo
shortlist_sizeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
errorsNo
successYes
summaryYes
Behavior3/5

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

No annotations provided, so description must carry burden. It discloses that offline results are synthetic and not purchase-ready, but doesn't mention authentication, rate limits, or mode-specific behaviors.

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 concise with two sentences, no unnecessary words. However, it lacks structured formatting like bullet points for key aspects.

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

Completeness2/5

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

Given 8 parameters with no schema descriptions and no output schema in context, the description is incomplete. It doesn't explain return values, pagination, or how to interpret results.

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%, yet the description adds no parameter-level detail. It mentions 'natural-language query' but doesn't explain parameters like mode, limit, or requirements.

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 purpose: search DigiKey candidates using natural language, enrich with ProductDetails, and preserve trade-offs. It distinguishes from sibling tools like building BOMs or comparing candidates.

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

Usage Guidelines3/5

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

The description lacks explicit when-to-use guidance or alternatives. It implies usage for initial part exploration but doesn't contrast with siblings like get_part_details or validate_bom.

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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