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intel_tech_launch

[v1.6.0] L-179 原子:一个品类的技术启动。必传品类 slug。返回作价入股、出资、合资等转化动作,含日期。近窗 48 个月。非壁垒最多 2 条且不给来源 URL;壁垒月卡给该品类全量动作和来源。只返回 JSON。Atomic tech launch for one category slug. Window 48 months. Non-pro: max 2, no source URL. Pro: full actions with sources. JSON only.

Input Schema

NameRequiredDescriptionDefault
slugNoCategory slug
categoryNoAlias of slug

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / category / description
      Previous value: -"Optional category id/slug filter"New value: +"Alias of slug"
    • removedInput schema / properties / date
      Removed value: -{
      -  "description": "Snapshot date YYYY-MM-DD. Omit for today.",
      -  "type": "string"
      -}
    • addedInput schema / properties / slug
      Added value: +{
      +  "description": "Category slug",
      +  "type": "string"
      +}
  2. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the full disclosure burden, and it delivers: a 48-month window, tiered behavior (non-pro returns at most 2 items without source URLs; pro returns the full set with sources), and JSON-only output. It omits auth/subscription prerequisites and how the tier is determined.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The content is useful but the same payload is repeated in Chinese and English, roughly doubling length without adding information. The version and internal ID prefix '[v1.6.0] L-179' is noise that leads the description instead of the purpose.

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?

There is no output schema and no annotations, so the description must carry both behavior and return shape. It does describe what is returned (conversion actions with dates) and the tiering of results. It leaves out how the tier is determined and whether errors occur when the slug is missing.

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?

Schema coverage is 100%, so both parameters are already documented. The description adds that slug is mandatory, but it never explains that 'category' is an alias of 'slug', which is the one semantic point where schema and description both fall short.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource and scope: an atomic tech-launch lookup for one category slug, returning conversion actions such as equity-for-technology, capital contribution, and joint ventures, each with dates. This distinguishes it from sibling tools like intel_tech_daily and intel_tech_dir. It does not explicitly name which sibling to use instead, so it stops short of a 5.

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 instruction '必传品类 slug' (slug is required) clarifies that the tool needs a slug, even though the schema shows required: 0. It also states a 48-month window, which sets expectations. It gives no explicit when-not-to-use guidance or named alternative among the many category siblings.

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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