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Draft a review reply

draft_review_reply

Drafts a public reply to one review, in the reviewer's language and the app's writing style, under the Store's 1000 character limit and Microsoft's reply rules. Nothing is posted: StoreFast can't reply to reviews, because Microsoft's API for it doesn't work, so show the draft to the person, who edits it and posts it from Partner Center's Ratings and reviews page, linked in the result. Counts against the daily AI allowance.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "appId": "<appId>",
      "reviewId": "<reviewId>"
    },
    "name": "draft_review_reply"
  }
}

Input Schema

NameRequiredDescriptionDefault
appIdYesThe app id from list_apps.
reviewIdYesThe review id from list_reviews.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior5/5

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

Adds substantial context beyond annotations: nothing is posted, the 1000-character Store limit and Microsoft reply rules are enforced, the draft matches reviewer language and app style, the Partner Center link is returned, and the call burns daily AI allowance. The quota consumption explains why readOnlyHint=false despite no write occurring, so the annotation and description are consistent rather than contradictory.

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?

Three tight sentences: the action first, then the no-posting caveat with the reason and the manual next step, then the cost. Every clause carries information an agent or user would otherwise have to guess.

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 tool with no output schema, the description covers the essentials: what is produced, that the result is a draft rather than a posted reply, where the link lives, and the consumption cost. Nothing an agent needs before calling it is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both parameters already carry descriptions pointing at list_apps and list_reviews, so the schema does the work. The description mentions language and style behavior but adds no new constraint on the ids themselves. Baseline 3 applies.

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 (drafts) and resource (a public reply to one review) plus the constraints it works under. No sibling tool does anything similar — list_reviews only supplies the id — so an agent can route to it unambiguously.

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 frames the intended workflow: generate a draft, show it to the human, who edits and posts it from Partner Center's Ratings and reviews page. It also rules out a mistaken expectation ('StoreFast can't reply to reviews'), which is effectively a when-not clause. It stops short of naming a sibling alternative or stating prerequisites such as needing an appId from list_apps first.

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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