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This week's App Store listing work

aso_set
Read-only

The week's set for the first app, picked from the stored listing check (app_audit), the App Store search checks per country (app_keywords), the ranks (app_ranks) and the country read (app_countries), so the founder does not choose item by item: the listing check or its open fixes, the search check when it is missing or a month old, the name, subtitle and keyword field aimed at the searches the app can win in each language the listing has, and the next country to open. A language whose listing changed in the last two weeks waits (held), so a change is read on its ranks before the same words change again. Each action says its routine part and what to record (record_action meta), so the week's set counts as done. Also what moved in App Store search. Free.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds real behavior beyond that: items are derived from four sibling tools, a language whose listing changed in the last two weeks is 'held', and each action carries a 'record_action meta' so completion can be tracked. The 'Free' note and the absence of any output-shape explanation leave gaps.

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

Conciseness2/5

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

The definition is a dense, comma-chained run-on that buries the core purpose under nested subordinate clauses. Sentences are not front-loaded: key facts like the held-language rule and the 'Free' note appear without setup, and the phrasing forces re-reading.

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

Completeness3/5

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

There is no output schema and the tool aggregates multiple sources, so the description has to explain what comes back. It does list the kinds of actions included (listing fixes, stale search checks, metadata fields, next country) and mentions held items, which helps. But it never says the return structure or how many actions to expect, and 'Free' and 'record_action meta' remain unexplained.

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 tool takes zero parameters, so the schema requires no parameter explanation and the baseline is 4. The description correctly implies no inputs are needed because the set is generated from stored data.

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

Purpose3/5

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

The first sentence establishes that this assembles 'the week's set for the first app' from app_audit, app_keywords, app_ranks and app_countries, so the general purpose (a read-only weekly ASO work set) is inferable. But it is one long run-on clause with no clear verb, and the boundary versus siblings like today, plan or visibility is never stated plainly.

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

Usage Guidelines2/5

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

There is an implied context ('so the founder does not choose item by item') but no explicit instruction on when to call this versus alternatives such as today, plan, or the source tools it summarizes. The held-language rule is a behavior, not a usage guideline.

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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