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RoboParts 机器人零部件兼容性

get_component_detail

按 ID 获取单个零部件的完整字段,包含 source_tier(数据来源等级)、confidence(置信度)、data_quality 与 mechanical_interface 等元数据。用于在做出采购/设计决策前核对证据强度。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes零部件 ID,如 ACT-001 / CHIP-001 / SENS-001。大小写与连字符需完全匹配,不做模糊查找;建议先由 search_components 返回值取得。注意 ID 前缀不能反推 category(库内存在前缀与品类不一致的条目,实时条数见 GET /mcp 的 dataset.id_category_mismatch)。

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / id / description
      Previous value: -"零部件 ID,如 ACT-001 / CHIP-001 / SENS-001。大小写与连字符需完全匹配,不做模糊查找;建议先由 search_components 返回值取得。注意 ID 前缀不能反推 category(688 条中 38 条不一致)。"New value: +"零部件 ID,如 ACT-001 / CHIP-001 / SENS-001。大小写与连字符需完全匹配,不做模糊查找;建议先由 search_components 返回值取得。注意 ID 前缀不能反推 category(库内存在前缀与品类不一致的条目,实时条数见 GET /mcp 的 dataset.id_category_mismatch)。"
  2. Changed1 schema field changed
    • changedInput schema / properties / id / description
      Previous value: -"零部件 ID,如 ACT-001 / CHIP-001 / SENS-001"New value: +"零部件 ID,如 ACT-001 / CHIP-001 / SENS-001。大小写与连字符需完全匹配,不做模糊查找;建议先由 search_components 返回值取得。注意 ID 前缀不能反推 category(688 条中 38 条不一致)。"
  3. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It mentions the returned content (metadata fields) and context, but does not explicitly disclose whether this is a safe read-only operation, error behavior, or the exact-match requirement (the latter is in the schema, not the description). The 'verify evidence strength' purpose hints at non-destructive use, but lacks explicit behavioral guarantees.

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?

Two sentences, front-loaded with the main action and resource, followed by a concise use-case statement. Every word earns its place; no filler or repetition.

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?

The tool has a single parameter and no output schema, yet the description covers purpose, return fields, and use context. The schema supplements with matching rules. It lacks an explicit 'not found' behavior or output format, but given the simplicity, it is adequately complete for an agent to select and invoke correctly.

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

Parameters3/5

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

The schema describes the id parameter in detail (exact match, case sensitivity, no fuzzy lookup, suggestion to get from search_components, ID prefix caution). Schema description coverage is 100%, so the baseline is 3. The description itself adds no additional parameter semantics beyond mentioning the ID.

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 verb '获取' (get) and the resource '单个零部件的完整字段' (complete fields of a single component), distinguishing it from sibling tools like search_components (search) or check_compatibility (compatibility). It also lists specific metadata fields, leaving no ambiguity about its function.

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 use context: '用于在做出采购/设计决策前核对证据强度' (used to verify evidence strength before procurement/design decisions). The schema additionally advises obtaining the ID from search_components, implying a sequential workflow. However, it does not explicitly exclude alternative tools or state when not to use it, so it's not a full 5.

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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