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AsoTheory

get_tracked_keywords

The keyword watchlist for one tracked app: current rank, whether apps your size are reachable there, and (Standard+) difficulty and effectiveness.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_keyYesAn app key from list_tracked_apps, e.g. 'ios:123456789'.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of explaining side effects, permissions, or mutating behavior. It only describes the output content and does not disclose whether the tool is read-only, whether it can error, or any rate limits or auth requirements.

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 a single compact sentence that names the resource and enumerates the main output components without redundancy. It is efficient and easy to parse.

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 no output schema present, the description helpfully enumerates the returned data categories (rank, reachability, difficulty/effectiveness). It is concise but lacks any mention of error cases or additional output metadata, so it is slightly incomplete for full context.

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

Parameters5/5

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

The only parameter, app_key, is fully described with its source (list_tracked_apps) and a concrete example format. This gives enough context for an agent to populate it correctly.

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

Purpose4/5

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

The description clearly identifies the resource as a keyword watchlist for one tracked app and lists the key data returned (current rank, reachability, difficulty/effectiveness). It distinguishes this from sibling tools that handle growth plans, listings, review verdicts, or keyword search, though it is phrased as a noun phrase rather than an explicit imperative.

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?

The description does not state when to use this tool versus alternatives such as search_keyword or get_listing. It implies a read operation but provides no explicit selection guidance or conditions.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a clearly distinct concern: growth plans, listings, review verdicts, tracked keywords, app lists, and live keyword search. There is no functional overlap between tools like get_tracked_keywords and search_keyword because one reports watchlist history and the other performs ad-hoc research.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern: get_* for retrieving stored entities, list_* for enumerating apps, and search_keyword for live research. The naming is predictable and immediately conveys each tool's purpose.

Tool Count5/5

Six tools is a well-scoped set for an ASO-focused server, covering the main read-only surfaces without redundancy or unnecessary bulk. Each tool earns its place and the count feels appropriate for the domain.

Completeness5/5

The tool surface covers the core ASO workflows: viewing tracked apps, listing metadata, review verdicts, keyword watchlists, and performing live keyword research. Given the apparent read-only analytics scope, there are no obvious missing operations.

Resources