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ShearQuery — Barber & Beauty Industry Data

The services Google lets this business list, and which are on

my_service_options
Read-only

List the services Google offers for this business's categories, with each service's id and whether the listing already offers it, plus any custom services the owner wrote. Use the ids with propose_services.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds real behavioral context beyond that: it discloses the shape of the returned data (each service's id, whether the listing already offers it, plus owner-authored custom services), which matters notably given there is no output 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?

A single tight sentence covering purpose, return shape, and the downstream consumer, with the primary purpose front-loaded. It is well-sized, though the return-shape clause makes it slightly dense.

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

Completeness4/5

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

Because no output schema exists, the description must carry return-value information, and it does — ids, offered status, and custom services. It could mention ordering or handling of large service lists, but for a zero-parameter read tool it is close to complete.

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?

The tool takes zero parameters, so the baseline is 4 and there is nothing for the description to clarify. No parameter-related gaps exist.

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?

States a specific verb and resource ('List the services Google offers for this business's categories') and delimits scope by noting the inclusion of custom services. It is easily distinguished from siblings like my_attribute_options and propose_services.

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?

Explicitly routes the agent downstream: 'Use the ids with propose_services,' naming the sibling that consumes the output. It does not state when not to use this tool (e.g., for attributes or categories), so it falls short of a full when/when-not/alternatives treatment.

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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