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list_restaurants

Real restaurants by city (KissCode is not affiliated with them).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior1/5

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 does not state whether the operation is read-only, whether it has side effects, what authentication it needs, whether results are paginated, or what the response looks like; the parenthetical non-affiliation note is not tool behavior.

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?

The description is very short, front-loaded, and contains no redundant or padded text. The parenthetical disclaimer is arguably non-invocational but may serve as useful trust context.

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

Completeness2/5

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

With no output schema, no annotations, and 0% schema description coverage, the description should carry much more. It omits return shape, city optionality, and any usage context, leaving the agent with an incomplete picture for even this simple list tool.

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?

Schema description coverage is 0%, and the only parameter is an undocumented 'city' string. The phrase 'by city' links to that parameter but adds no format, required/optional status, or filtering semantics beyond what the schema already shows.

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

Purpose3/5

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

The description is a noun phrase ('Real restaurants by city') rather than a verb-led statement, so it does not explicitly say the tool lists or returns restaurants. It does state the resource and the city scope, but it does not differentiate from siblings such as review_restaurant.

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?

It gives no when-to-use guidance, no exclusions, and no alternatives. The phrase 'by city' weakly implies filtering, but the agent is left to infer when this tool is appropriate.

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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