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列 OPC 园区

list_parks
Read-onlyIdempotent

浏览 / 筛选 OPC 园区目录(六城)。

【杀手用法】按补贴类型筛:benefitType=RENT_SUBSIDY 找「有租金补贴的园区」——这是主理人/找资源者最高频的诉求。可叠加 city / track / 状态 / 关键词。

【drill-down】get_park 看补贴明细 + 入驻条件 + 信源。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNo关键词,命中名称 / 运营方 / 区域
cityNo城市,如 北京/上海/深圳/杭州/广州/成都
limitNo返回条数,默认 20
trackNo赛道标签过滤,如 新消费/AI
cursorNo分页游标
statusNoOPERATING 已运营 | PLANNED 规划中
benefitTypeNo只看含某类补贴的园区:RENT_FREE(免租) | RENT_SUBSIDY(租金补贴) | COMPUTE_VOUCHER(算力券) | MODEL_VOUCHER(模型券) | STARTUP_FUND(创业资金) | SETTLEMENT(落户) | FUND(产业基金) | ORDER(订单导入) | TALENT_HOUSING(人才公寓) | LOAN(创业贷款) | OTHER(其他)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds useful scope context (six-city directory, filterable dimensions, drill-down path) but says nothing about result shape or pagination behavior, and there is no output schema to fill that gap.

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?

Three short, front-loaded blocks with bracketed labels that let an agent scan purpose, primary use case and drill-down target immediately. No filler sentences; the only prose addition ('highest-frequency need') justifies why the example filter matters.

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?

Covers the primary filter semantics and the follow-up tool for a 7-param, no-output-schema listing tool, with annotations carrying the safety profile. The remaining gap is result shape and pagination behavior, which neither the description nor an output schema explains.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3, but the description adds real semantic value: it tells the agent how to use benefitType in practice (RENT_SUBSIDY → parks with rent subsidy) and that filters stack with city/track/status/keyword. That is meaning beyond the enum definitions in the schema.

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?

States a specific verb+resource+scope: '浏览/筛选 OPC 园区目录(六城)'. It also explicitly distinguishes itself from the sibling get_park, which it positions as the drill-down step rather than a duplicate listing tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit highest-value usage path (filter by benefitType=RENT_SUBSIDY) and names the combinable filters (city / track / status / keyword). It also states when to escalate to get_park for subsidy details, occupancy conditions and sources, so the routing decision is fully specified.

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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