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ShearQuery — Barber & Beauty Industry Data

Draft a public reply to a Google review

propose_review_reply

Draft a public reply to one review, using its id from my_reviews. Replaces any existing reply. Two or three sentences in the owner's voice; never offer discounts, argue, or share personal details. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe reply exactly as it will appear publicly.
review_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.9/5.0
Behavior5/5

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

Annotations only say readOnlyHint=false and destructiveHint=false; the description goes further by disclosing that any existing reply is replaced and that only a DRAFT is created — nothing on Google changes until publish_change. That two-phase semantics and the overwrite behavior are exactly the context the annotations cannot convey.

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?

Four tightly packed sentences with no filler; the core action, the overwrite warning, the draft-only guarantee, and the publish workflow all appear in order of importance. Nothing is repeated from 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?

For a two-parameter drafting tool with no output schema, the description covers what the tool does, what it returns (a draft to show the owner), what it does not do (nothing on Google changes), and how to complete the flow via publish_change. No operational gaps remain.

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 50%, with review_id undocumented in the schema; the description compensates by stating where the id comes from (my_reviews). For text it adds real content guidance (two or three sentences, owner's voice, no discounts/arguments/personal details) that the schema's one-liner does not carry.

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 ('Draft a public reply to one review') and bounds the scope to a single review rather than many. It also names the sibling that supplies the input id (my_reviews), so an agent can distinguish it from the other propose_* tools without opening any schema.

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 specifies the source of the required id ('from my_reviews') and lays out the full workflow: show the returned draft to the owner word for word, then publish with publish_change only after they say yes. When-to-use and the required follow-up step are both explicit, with a clear precondition (owner approval).

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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