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Read Google menu and lodging fields

get_google_industry_schema
Read-onlyIdempotent

Read Google’s writable menu or lodging fields and enum choices for this eligible listing. Start with an empty path, then pass returned field keys as a path array to inspect nested objects or list-item fields. Use this metadata rather than inventing field names. Read existing industry details first, preserve untouched menu items, and send only changed lodging groups. read_status errors are not empty data and must be resolved before proposing an edit.

Input Schema

NameRequiredDescriptionDefault
pathNo
sectionYes
site_idYesThe site whose Google Business Profile location to use.
user_goalNoOptional: the user's goal behind this call, in one short sentence of plain words (e.g. "add a page so customers can book tables"). No names, emails or other personal details.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive, open-world behavior, so the bar is low, and the description still adds real value: it explains the recursive path-walking pattern and warns that read_status errors are not empty data and must be resolved before proposing an edit. It does not describe response shape or pagination depth limits beyond the 12-item path cap in the schema.

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?

Four sentences, front-loaded with the purpose and then the calling procedure; each sentence carries actionable information. It is dense and skips connectives, but nothing is redundant with the schema or annotations.

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?

There is no output schema, yet the description explains what comes back well enough to act on — field keys usable as path segments, enum choices, and read_status errors. Combined with the recursion instruction and the edit-safety caveat, an agent has what it needs 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 only 50% (site_id and user_goal carry descriptions; path and section do not), so the description must compensate — and it does by explaining that path is a progressive array of field keys starting empty, and by mapping 'menu or lodging' onto the food_menus/lodging enum. It never states the maximum path depth or what path accepts on the first call beyond 'empty'.

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 opening sentence names a specific verb and resource — reading Google's writable menu or lodging fields and enum choices — scoped to 'this eligible listing'. It is clearly distinguishable from a plain details read, though it only alludes to the sibling get_google_industry_details rather than naming it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

Strong procedural guidance: start with an empty path, then pass returned field keys as the path array to descend into nested objects or list-item fields, and consult this metadata instead of inventing field names. It also gives sequencing advice ('Read existing industry details first', preserve untouched menu items, send only changed lodging groups). A named alternative tool is missing, so it stops short of a full when/when-not contrast.

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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