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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description still adds real behavioral context beyond them: the draft-applied interpretation, that error-level problems block sending while warnings do not, and that certification notes and send status are included. It doesn't cover permissions or pagination, so not a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single dense paragraph that front-loads the core concept (what the listing represents) before the parameter behavior and blocking rules. Every clause carries information, though the sentence is long and could be split for faster scanning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the return-value burden and does so thoroughly: per-language overview fields, full text fields, screenshots with captions, problems and their severity semantics, certification notes, and send status. An agent knows both what it gets and what the error/warning distinction means before calling.

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

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

Schema coverage is 100%, so the baseline is 3; the description adds genuine meaning by explaining the two output modes tied to the optional language parameter (all-language overview vs. one language's full text and captioned screenshots) and that the code must come from the overview. That is more than the schema's terse 'A language code from the overview, like en-us'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a precise verb+resource+state: 'the app's Microsoft Store listing as the next submission would send it: the live listing with the saved draft applied.' That clearly separates it from write-side siblings like update_listing or send_listing_update, but no sibling tool is named explicitly, so it stops short of full differentiation.

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

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

It states the selection rule for the optional parameter ('Without language it gives an overview of every language... pass a language code for that language's full text'), which is clear usage context. It never names an alternative tool or says when not to call this one, so no explicit routing or exclusions.

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