get_placement
JLCPCB部品配置(CPL CSV)を返す
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | Yes |
JLCPCB部品配置(CPL CSV)を返す
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It merely states the return value without explaining how the CPL CSV is produced, whether it depends on project state, or whether it is purely a read 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 a single sentence with no filler, so it is concise. However, it lacks structural elements like parameter documentation or usage examples, making it under-specified for the tool's needs.
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 has one parameter, no output schema, and no annotations, the description is incomplete. It does not explain the purpose of the prompt parameter, the expected response format, or how this tool fits into the broader 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 input schema has one parameter, 'prompt', with 0% description coverage, and the tool description does not mention it at all. The agent has no information about what value to provide, making the parameter effectively undocumented.
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 states it returns the JLCPCB component placement (CPL CSV), which is a specific verb and resource. This clearly distinguishes it from sibling tools like get_bom_csv and get_pcb_svg, which return different artifacts.
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 provided on when to use this tool versus alternatives. It does not mention any prerequisites, context, or scenarios where this tool should be preferred over similar export tools.
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.