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花几块钱,让一个在附近的真人去看一眼

ask_someone_there

Pay one real person who happens to be nearby to walk over and answer a question about right now, on the spot. A few yuan, a few hours. Good for: is this shop open right now, does this charger work, how busy is that street today, is the item still on the shelf — things you cannot search for, that only someone standing there this minute knows. Cheaper and faster than verify_place, but one person and no report. 让一个正好在附近的真人去看一眼,回答一个当下、现场的问题,几块钱、几小时内。适合:这家店现在开着吗、这个充电桩能不能用、这条街今天什么样、货架上还有没有货——这类你搜不到、只有此刻站在那儿的人才知道的事。 跟 verify_place 的区别:这个是一个人、便宜、快,给的是一句现场描述;verify_place 是三个互不相识的人、几十块、出一份可以拿去给别人看的核实报告,适合"这家供应商到底存不存在"这种要留证据的场合。拿不准就用这个,便宜。下单会从账户余额扣款。

Input Schema

NameRequiredDescriptionDefault
cityNo城市,例如「芜湖」。填了更容易找到附近的人
questionYes你想知道什么,一句话。越具体越好——「金鹰对面那家兰州拉面现在还开着吗」比「那家店怎么样」有用得多
place_hintYes去哪儿看。地址、店名、路口都行,能让人找到就够
price_yuanNo愿意出多少钱(5–30 元),不填按 5 元。给得多,有人接的更快

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

No annotations, so the description carries the full burden, and it discloses real traits: it costs a few yuan, takes a few hours, draws from the account balance, returns a single on-site description, and involves only one person with no report. It omits edge cases such as what happens if nobody accepts or whether the charge is refunded.

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

Conciseness4/5

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

Each language version is well front-loaded, leading with the core value proposition before examples and the sibling comparison. The full bilingual duplication means the content appears twice, which is repetitive, but it appears deliberate for a Chinese-market audience.

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?

With no output schema and no annotations, the description does the needed work: it states the cost, timing, that only one person is involved, and that the result is a one-line on-site description rather than a report. Return format is characterized qualitatively, which is enough for an agent to set expectations.

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 description coverage is 100%, so the schema already documents all four parameters including the 5–30 yuan price range and the 'pay more, get accepted faster' dynamic. The description's '几块钱/a few yuan' only loosely echoes the schema and adds no new syntax or format detail, so baseline 3 applies.

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: pay one real nearby person to walk over and answer an on-the-spot question. It explicitly names and contrasts the sibling verify_place, so an agent can distinguish the two without opening either schema.

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 concrete when-to-use examples (is the shop open, does the charger work, is the item on the shelf) and an explicit when-not: use verify_place when you need evidence from three strangers in a report. Ends with a tie-breaker ('when unsure, use this, it's cheap').

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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