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ShearQuery — Barber & Beauty Industry Data

Your plan and wallet

my_wallet
Read-only

The signed-in member's plan (Free, Manage or Autopilot), how many website chat questions they have used this month, their wallet balance and what it buys, whether auto-reload is on, and recent wallet activity. Use it before offering to load the wallet, buy a plan or make an image. Report the figures as given.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description adds value by enumerating the returned figures and by instructing the agent to report them verbatim rather than recompute or round them. It does not mention any auth or membership prerequisite beyond 'signed-in member,' but for a zero-argument self-scoped read that is largely self-evident.

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, zero filler, and the content enumeration leads. With no output schema, that enumeration is load-bearing rather than padding, and the action guidance is placed last where it is easy to act on.

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, so the description must carry the return contract, and it does so field by field. Combined with the explicit preflight guidance, an agent has everything needed to call the tool and interpret the response without further context.

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 no parameters and the schema is empty with 100% coverage, so there is nothing for the description to disambiguate. Baseline for a zero-parameter tool applies.

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 enumerates exactly what the tool returns: plan tier (Free, Manage, Autopilot), monthly website chat usage, wallet balance and purchasing power, auto-reload state, and recent activity. That is a precise resource definition an agent can match against a user question. It lacks an explicit verb and never names how it differs from adjacent account tools such as my_autopilot or my_shearquery_account, so sibling differentiation is left to inference.

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 an explicit trigger: 'Use it before offering to load the wallet, buy a plan or make an image.' That tells the agent when this tool must precede other actions, which is exactly the routing guidance a preflight check needs. It also closes the loop with a handling instruction, 'Report the figures as given,' covering what to do with the result.

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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