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KOB Live Restaurant Ops Audit

Get Google listing

get_google_listing
Read-onlyIdempotent

Fetch public Google place details: hours, phone, website, rating, review count, and recent reviews when the Places API returns them. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clientNoCalling assistant, used only for the trial link utm_source. Examples: claude, chatgpt, grok, copilot, gemini.
exampleNoWhen true, return the labelled Harbour & Rye fixture and do not call live APIs. Use only if the user asked for an example.
placeIdNo
googleMapsUrlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the trailing 'Read-only' is largely redundant. The one genuine addition is 'when the Places API returns them', which warns that fields may be conditionally absent — useful, but thin for a live external API call.

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, front-loaded sentences with the verb and resource first and the returned fields enumerated compactly. The only wasted phrase is 'Read-only', which duplicates the annotation.

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?

With no output schema, the description usefully enumerates the returned fields, which is appropriate. However, it omits the crucial input story (placeId vs googleMapsUrl, whether either is required) and gives no signal on how to disambiguate from the Yelp sibling.

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 coverage is only 50%, with placeId and googleMapsUrl completely undocumented in both schema and description. The description never explains that these are alternative place identifiers, whether one is required, or how they interact — a real gap for a lookup tool whose core parameter semantics are unstated.

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 gives a specific verb ('Fetch') and resource ('public Google place details') and enumerates the returned fields (hours, phone, website, rating, review count, reviews), so an agent knows exactly what it produces. It does not explicitly contrast with the sibling get_yelp_listing, leaving source differentiation to the tool name alone.

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?

No when-to-use guidance and no alternatives are named, despite get_yelp_listing and find_restaurant being obvious siblings. The agent must infer that this is the Google-source lookup tool from the name only; nothing states when to prefer it or how it differs from the Yelp variant.

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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