Skip to main content
Glama

reply_to_review

Post a reply to a user review on Google Play to address feedback or provide support. Specify the app, review ID, and reply text.

Instructions

Reply to a user review.

Args: package_name: App package name review_id: ID of the review to reply to (from get_reviews) reply_text: Text of the reply (will be visible to the reviewer)

Returns: Result with success status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
package_nameYes
review_idYes
reply_textYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations exist, so the description carries the full burden. It notes that the reply will be visible to the reviewer, which is a key behavioral trait. However, it does not disclose required permissions, rate limits, or consequences of replying to a non-existent review.

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?

The description is very concise: a one-line summary, a bulleted Args list, and a Returns line. Every sentence adds value with no redundancy.

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?

With an output schema present (though not shown), the description need not detail return format. It mentions success status. However, it lacks error scenarios or prerequisites beyond the parameter hints. Overall adequate for a straightforward mutation tool.

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 schema has 0% description coverage, but the description's Args section adds meaningful context: package_name is identified as 'App package name', review_id as 'ID of the review to reply to (from get_reviews)', and reply_text with visibility hint. This compensates well for the lack of schema descriptions.

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 clearly states it replies to a user review. The verb 'reply' and resource 'review' are specific. Among sibling tools with similar names (get_reviews, etc.), this is distinctly the write operation for replying.

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 that review_id comes from get_reviews but does not explicitly state when to use or not use this tool. No alternatives or exclusions are mentioned, leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lusky3/play-store-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server