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Draft a reply to a review

draft_review_reply

Write a draft reply to one app review (an id from app_reviews). Spends a small amount of Growth Credits. Nothing is posted: the owner reads it and says yes to it themselves on the App reviews page in GrowthDept.

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": {
      "review_id": "<review_id>"
    },
    "name": "draft_review_reply"
  }
}

Input Schema

NameRequiredDescriptionDefault
review_idYesThe review's id from app_reviews.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Beyond the annotations, it discloses two behaviors the annotations cannot: the call consumes Growth Credits, and nothing is published – the owner approves the draft on the App reviews page. This is consistent with readOnlyHint=false (a draft is persisted and a cost is charged). What is missing is whether repeated calls create duplicate drafts, which matters because idempotentHint=false.

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 short sentences, front-loaded with the action and identifier source, followed by cost and a side-effect disclaimer. No sentence repeats structured data or wastes words.

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?

For a single-parameter tool with annotations and no output schema, the description covers action, cost, and the safety profile adequately. It does not say what is returned (the draft text, a link to it) or what happens if a draft already exists, which are the only notable gaps.

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 the schema already says the review_id is 'The review's id from app_reviews', so the description's parenthetical adds no new meaning. Baseline 3 applies when the schema carries the parameter semantics.

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?

The description states a specific verb and resource ('Write a draft reply to one app review') and names the source of the identifier ('an id from app_reviews'), which separates it cleanly from sibling tools such as app_reviews (listing) and approve_item (approval). An agent can select this without opening the schema.

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

Usage Guidelines3/5

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

The description implies when to use it (the owner wants a reply drafted for a single review) and clarifies the human approval step, but it never names alternatives or states exclusions, e.g. how to handle multiple reviews or how it relates to approve_item even though approve_item appears in the sibling list. Usage is inferable rather than explicit.

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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