list_parts
List all parts in the registry (id, name, family, pins).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
partreel
TDQS
A4/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the burden. It states the tool lists all parts and identifies return fields, but it does not disclose potential pagination, ordering, or scale behaviors. For a simple read-only list, 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?
The description is a single, efficient sentence that front-loads the action and includes key output fields. No wasted words.
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 tool with no parameters and no output schema, the description adequately explains that it lists all parts and specifies the returned fields. However, it omits any details about the result structure or potential volume/performance characteristics, which is acceptable given the simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, which makes the schema coverage trivial. The description does not need to add parameter details; it correctly focuses on the output fields. Baseline 4 is appropriate.
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 'List all parts in the registry' with a specific verb and resource, and enumerates the fields returned (id, name, family, pins). This distinguishes it from siblings like get_part (single part) and search_parts (filtered).
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?
No explicit guidance on when to use this tool versus search_parts or get_part. The 'all parts' wording implies bulk listing, but there is no direct comparison or exclusion, so usage context is only implied.
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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TDQS
A4.4/5.0
Disambiguation5/5
Each tool serves a distinct action in the part lifecycle: discovery (list, search, get), acquisition (request, submit), guidance (how_to_contribute), and feedback (report_feedback). No two tools overlap in purpose, and descriptions clearly indicates when to use each.
Naming Consistency4/5
Most tools follow a consistent verb_noun pattern (get_part, list_parts, search_parts, request_part, submit_part, report_feedback). The exception is how_to_contribute, which breaks the pattern but remains readable and clear.
Tool Count5/5
Seven tools is well-scoped for a component registry, covering discovery, contribution, and feedback without redundancy or bloat. Each tool earns its place in the workflow.
Completeness5/5
The toolset fully covers the core domain: searching and retrieving parts, handling missing parts via parametric generation or user submission, and recording real-world feedback. The lack of update/delete tools is appropriate for a CI-promoted registry, and feedback is tied to parts via the public GitHub system.