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爱佳肴 Love Life

get_restaurant

店铺详情:地址、坐标、营业时间、人均、菜品(含当季与当前是否供应)、食材说明、认领状态、反馈汇总, 以及每项信息的新鲜度 freshness(新鲜 / 待确认 / 可能已变化)与事实说明 notes。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
store_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses that each piece of information has a freshness state (fresh / to be confirmed / possibly changed) and notes, which warns about data staleness. However, it does not state read-only nature, permissions, error behavior, or other operational traits.

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 description is a single long sentence that front-loads the resource and then lists many returned fields. It is not repetitive, but the run-on list lacks structure and could be harder for an agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description does a decent job listing returned fields and freshness indicators. However, it omits parameter semantics and usage guidance, leaving key agent needs unaddressed for invoking the tool correctly.

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

Parameters2/5

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

There is only one parameter (store_id) with 0% schema description coverage, and the description never mentions the parameter or its expected format. With low schema coverage, the description should compensate, but it does not, leaving the parameter meaning unexplained.

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 '店铺详情' and enumerates the returned fields, making the resource and scope clear. It does not explicitly differentiate from siblings like search_restaurants or get_restaurant_history, so it lacks the explicit sibling routing that would earn 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 Guidelines2/5

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

The description provides no when-to-use or when-not-to-use guidance, and it does not mention any alternatives or prerequisites. It only says what data is returned, not when an agent should call it instead of another tool.

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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