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get_places

Places in San Francisco, Oakland, or Berkeley. Accepts neighborhood (e.g. 'Mission', 'SoMa', 'San Francisco') and category (e.g. 'brunch', 'sports_bar', 'food', 'nightlife').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNosort
limitNolimit
categoryNocategory
open_nowNoWhen true, only places open now.
neighborhoodNoSan Francisco, Oakland, or Berkeley neighborhood name, such as Mission.
newly_opened_daysNonewly_opened_days

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed9 schema fields changed
    • addedInput schema / properties / category
      Added value: +{
      +  "description": "category",
      +  "type": "string"
      +}
    • addedInput schema / properties / limit / description
      Added value: +"limit"
    • changedInput schema / properties / limit / type
      Previous value: -"string"New value: +"integer"
    • addedInput schema / properties / neighborhood / description
      Added value: +"San Francisco, Oakland, or Berkeley neighborhood name, such as Mission."
    • addedInput schema / properties / newly_opened_days / description
      Added value: +"newly_opened_days"
    • changedInput schema / properties / newly_opened_days / type
      Previous value: -"string"New value: +"integer"
    • addedInput schema / properties / open_now / description
      Added value: +"When true, only places open now."
    • changedInput schema / properties / open_now / type
      Previous value: -"string"New value: +"boolean"
    • addedInput schema / properties / sort / description
      Added value: +"sort"
  2. Changed8 schema fields changed
    • removedInput schema / properties / limit / description
      Removed value: -"Max places to return (default 20)"
    • changedInput schema / properties / limit / type
      Previous value: -"integer"New value: +"string"
    • removedInput schema / properties / neighborhood / description
      Removed value: -"Exact SF Bay Area neighborhood name from get_neighborhoods (e.g. Mission, North Beach, Oakland, Berkeley). Only San Francisco, Oakland, and Berkeley neighborhoods are valid. Do NOT pass a location outside the SF Bay Area (e.g. Williamsburg, Santa Monica, Camden, Shibuya) - that is OUT OF MARKET and must be declined with the Dayplay SF-Bay-Area-only message. Never fabricate a neighborhood name."
    • removedInput schema / properties / newly_opened_days / description
      Removed value: -"Filter for places opened in the last N days"
    • changedInput schema / properties / newly_opened_days / type
      Previous value: -"integer"New value: +"string"
    • removedInput schema / properties / open_now / description
      Removed value: -"Filter strictly for SF Bay Area places open right now. Filter only; never expands geographic scope."
    • changedInput schema / properties / open_now / type
      Previous value: -"boolean"New value: +"string"
    • removedInput schema / properties / sort / enum
      Removed value: -[
      -  "rating",
      -  "distance"
      -]
  3. First observed

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it says nothing about read-only semantics, result volume, pagination, or default ordering. It only hints at filtering by neighborhood and category, which is a thin disclosure for a 6-parameter query tool.

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?

Two tight sentences with no waste, and the geographic scope is front-loaded. It is efficient, though it spends its limited space on parameter examples rather than routing or behavioral 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?

For a tool with 6 parameters, no annotations, no output schema, and no required parameters, the description omits critical context: how sorting and limiting behave, what newly_opened_days means, and how results are returned. It is not adequate for an agent to invoke the tool confidently.

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 reported at 100%, so the baseline is 3, but several schema descriptions are bare placeholders ('sort', 'limit', 'category', 'newly_opened_days'). The description adds example values for category ('brunch', 'sports_bar', 'food', 'nightlife') that go somewhat beyond the schema, while its neighborhood examples largely duplicate the schema text.

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 identifies the resource (places) and its geographic scope (San Francisco, Oakland, or Berkeley), but never states a clear verb or action, and does not distinguish this tool from near-identical siblings such as browse_places, get_marketing_places, or get_local_gems. An agent learns what kind of data is behind the tool but not why it should pick this one.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. With over a dozen place/venue siblings available, the absence of routing advice leaves the agent to guess which tool to invoke.

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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