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Find places

find_places
Read-only

Find places for a specific occasion in one city — the task-shaped entry point. Give the city and what the evening needs (a cuisine, a neighborhood, a budget, a vibe) and it returns ranked, citable venues with a freshness receipt. Prefer this over search_venues when you are planning rather than browsing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity name or key from list_cities
limitNoMax results, default 6
max_priceNoMax price tier 1-4
looking_forNoWhat the occasion needs, e.g. 'omakase', 'patio', 'birthday dinner'
neighborhoodNoNarrow to a neighborhood

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYes
noteNo
venuesYes
receiptYes
showingYes
total_matchesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds valuable behavioral context: it returns 'ranked, citable venues with a freshness receipt', which tells the agent about the output's nature and data freshness. No contradiction with annotations.

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?

Two sentences with no filler. The primary purpose and scope are front-loaded, followed by the input/output summary and the alternative routing. Every sentence earns its place.

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

Completeness5/5

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

With an output schema present, the description does not need to explain return values. It covers the purpose, input hints, and usage alternative. Given five parameters (one required) and safe annotations, nothing essential is missing for an agent to call this correctly.

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 coverage is 100% with descriptions for all five parameters. The description adds usage examples ('a cuisine, a neighborhood, a budget, a vibe') that map to parameters like looking_for, neighborhood, and max_price, giving the agent concrete guidance on how to populate them beyond the schema's minimal descriptions.

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?

The description states a specific verb ('Find') and resource ('places') with a clear scope ('for a specific occasion in one city'). It explicitly differentiates itself from search_venues by calling itself the 'task-shaped entry point', making the purpose unambiguous and distinct from siblings.

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?

It gives explicit usage guidance: 'Prefer this over search_venues when you are planning rather than browsing.' This names the alternative and the condition that selects this tool, leaving no ambiguity about when to use it.

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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