manufacturing_readiness
製造レディネス(正直な実体評価): 実フットプリント/LCSC/DRC/fits/配線。発注して動く基板にできるか
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | Yes |
製造レディネス(正直な実体評価): 実フットプリント/LCSC/DRC/fits/配線。発注して動く基板にできるか
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must carry the full burden. It mentions 'honest physical assessment' but does not disclose whether the operation is read-only, whether it modifies objects, or what the output/return format is. This is insufficient for a tool that could be a mutating or analysis operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief and front-loaded with the key concept. It does not waste words, but it is terse to the point of omitting necessary details. Still, for what it includes, it is well-structured and easy to scan.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's likely complexity and the absence of annotations, output schema, or parameter explanations, the description is incomplete. It does not explain what the prompt should contain, what results to expect, or how this readiness check fits into the broader design/manufacturing workflow.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The only parameter is 'prompt', but the description does not mention it or explain what should be placed in the prompt. With 0% schema description coverage, the agent has no idea how to construct a valid request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool assesses manufacturing readiness by checking physical footprints, LCSC parts, DRC, fits, and wiring. It implies a verification/assessment action and distinguishes itself from sibling tools like compliance_check by emphasizing 'honest physical assessment' for ordering.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool vs. alternatives such as compliance_check or fab_order_package. It does not mention prerequisites, exclusions, or a recommended workflow.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Tools are largely distinct, but get_netlist and get_kicad_netlist could be confused; descriptions clarify one is for autoroute input and the other is KiCad-integrated. Parts tools are well-separated between listing, search, stats, and CRUD operations.
Naming mixes conventions: verb_noun (generate_device, parts_add), get_noun (get_firmware, get_netlist), and noun phrases (compliance_check, manufacturing_readiness). Within subgroups like parts_* and get_* it's consistent, but overall there's no single pattern.
21 tools is on the heavier side but appropriate for the broad scope of hardware design, evaluation, manufacturing outputs, and parts management. Each tool serves a distinct function, and the count is manageable without feeling bloated.
The toolset covers the full lifecycle from design generation (generate_device) through evaluation (eval_device, compliance_check, manufacturing_readiness), output files (BOM, firmware, netlists, SVG, placement), ordering, and parts CRUD. Minor gaps like lacking a direct 'get_device' retrieval are workaroundable.