parts_stats
パーツ・カタログの概観(総数/分類別)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
パーツ・カタログの概観(総数/分類別)
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden of disclosing behavior. It states the tool returns aggregated statistics (total count and category breakdown), which is useful. However, it does not explicitly mention that the operation is read-only or describe any potential caveats such as data freshness or access requirements.
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 concise phrase in Japanese, front-loading the key information (overview, total count, by category). There is no redundancy or wasted words.
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 there are no parameters and no output schema, the description adequately explains what the tool returns (total count and category breakdown). It is complete for a simple stats tool, though it could be slightly more explicit about the exact format or scope (e.g., whether it includes all parts or only certain categories).
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 tool has zero parameters, so the input schema is empty. The description naturally does not need to explain parameter semantics, and the baseline of 4 applies as there is no parameter information to provide.
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 identifies the tool's resource (parts catalog) and its output: an overview including total count and breakdown by category. This distinguishes it from sibling tools like parts_list or parts_search, which likely return individual records. However, it lacks an explicit verb like 'get' or 'retrieve', making it slightly less clear as an action.
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?
The description implies usage when a high-level summary of the parts catalog is needed, as opposed to viewing or searching for specific parts. However, it does not explicitly state when to use this tool over alternatives, nor does it mention any exclusions or prerequisites.
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.