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Track a new keyword

add_keyword
Destructive

Use this when someone asks to start tracking a keyword for their app in a given language and country. Returns the new keyword; adding the same term twice creates two rows. Keywords without a country are skipped by the weekly rank check. Not for a one-off rank lookup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesAppSkyline app id (uuid)
countryNoTwo-letter store country code such as US; without one the weekly rank check skips this keyword
languageNoTwo-letter language code such as en
searchTermsYesKeyword phrase to track, as users type it in the store, 1 to 200 characters

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
keywordYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • changedInput schema / properties / appId / description
      Previous value: -"Appskyline app id to attach the keyword to"New value: +"AppSkyline app id (uuid)"
    • changedInput schema / properties / country / description
      Previous value: -"Two-letter country code (e.g. US)"New value: +"Two-letter store country code such as US; without one the weekly rank check skips this keyword"
    • changedInput schema / properties / language / description
      Previous value: -"Two-letter language code (e.g. en)"New value: +"Two-letter language code such as en"
    • changedInput schema / properties / searchTerms / description
      Previous value: -"The keyword phrase to track"New value: +"Keyword phrase to track, as users type it in the store, 1 to 200 characters"
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=false, and readOnlyHint=false, lowering the bar. The description nonetheless adds non-obvious behavior: duplicate terms create two rows, and keywords lacking a country are skipped by the weekly rank check. It stops short of permissions or rate-limit context.

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 tight sentences, front-loaded with the use case, then return/side-effect facts, then the exclusion. Every sentence carries distinct information with no filler.

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 annotations covering the safety profile and an output schema covering the return value, the description supplies the remaining essentials: trigger condition, duplicate behavior, and a sibling exclusion. Only minor gaps (auth or quota expectations) remain.

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 description coverage is 100%, so the schema already documents appId, country, language, and searchTerms with examples. The description only reinforces the country-skip rule that the schema already states, adding little new semantic value; baseline 3 applies.

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 names a specific verb and resource ('start tracking a keyword for their app in a given language and country') and explicitly distinguishes from a sibling action ('Not for a one-off rank lookup', i.e. get_keyword_rank). An agent can route 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 Guidelines5/5

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

It states the trigger condition ('when someone asks to start tracking a keyword'), names the alternative tool's domain implicitly, and gives a negative case ('Not for a one-off rank lookup'). Both when-to-use and when-not-to-use are present.

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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