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create_mylist

Create a DigiKey MyList to save parts after the user confirms the exact list name, preventing accidental or misnamed lists.

Instructions

Create a DigiKey MyList after the user approves the exact name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes
Behavior4/5

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

Annotations already indicate this is a non-read operation (readOnlyHint=false) and non-idempotent, so the description does not need to restate those. It adds valuable context by specifying the requirement for user approval and the exact name. It also implies that the tool will create a list with the exact name provided, which is a behavioral trait not captured in annotations. While it doesn't discuss error conditions or side effects, the added confirmation context is useful and goes beyond metadata, justifying a 4.

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 a single concise sentence that front-loads the main action ('Create a DigiKey MyList') and then adds the essential condition. It contains no unnecessary words and is easy to parse. Perfectly sized for the information it conveys.

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?

Despite having a nested request object and no output schema, the description does not explain the request structure, return values, or potential failure modes. It only provides the user-approval condition. For a mutation tool with 0% schema description coverage and no output schema, the description leaves too much for the agent to infer. The tool is relatively simple, but the missing parameter semantics and lack of return-value information make it incomplete.

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

Parameters1/5

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

The input schema has 0% description coverage, and the description does not compensate. It only mentions 'exact name' and 'user approves', which hints at list_name and confirm, but gives no explanation of tags, account_id, created_by, or the nested request structure. Since there is no parameter documentation in the schema and the description adds almost no parameter meaning, this is a major gap.

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: 'Create a DigiKey MyList'. The verb 'Create' and resource 'MyList' are specific. It also adds a key condition ('after the user approves the exact name') that distinguishes this from other mylist operations like rename or delete. Since sibling tools include rename_mylist, delete_mylist, and add_parts_to_mylist, the purpose is unambiguous.

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 provides a clear usage prerequisite: 'after the user approves the exact name'. This tells the agent when it is appropriate to call the tool (only after user confirmation). However, it does not explicitly mention alternatives or situations where this tool should not be used. Given the self-explanatory name and the sibling context, the lack of explicit 'use X instead' is a minor gap. The condition itself is a strong guideline, so it earns a 4.

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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