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Analyze keyword competition

keyword_insights
Read-only

Analyze an App Store Connect app's keywords against search competition to show difficulty, competing apps, and budget usage.

Instructions

Analyze your app's keywords against search competition. Shows difficulty, competing apps, and budget usage. Uses iTunes Search API. Pro feature.

Input Schema

NameRequiredDescriptionDefault
app_idYesApp Store Connect app ID
extra_keywordsNoExtra comma-separated keywords to analyze beyond current metadata

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.0

TDQS

A3.7/5.0
Behavior4/5

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

Beyond readOnlyHint=true, the description discloses that it calls the iTunes Search API and is a 'Pro feature' (auth/entitlement requirement), and the mention of 'budget usage' hints at an external quota/rate-limit dimension. These add material behavioral context the annotations do not carry, though reversibility/pagination behavior is unstated.

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

Conciseness4/5

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

Four short, front-loaded sentences with no padding; the core action and its outputs come first. Efficient, though 'Uses iTunes Search API' and 'Pro feature' are terse fragments rather than fully integrated statements.

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, the description usefully names what is returned (difficulty, competing apps, budget usage) and flags the Pro entitlement. For a two-parameter read-only analysis tool this is largely complete, with only quota/rate-limit specifics left implicit.

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 app_id and extra_keywords are already documented in the schema. The description adds no format or constraint detail beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ('Analyze your app's keywords against search competition') and enumerates the outputs: difficulty, competing apps, budget usage. It clearly distinguishes keyword analysis from the other list/search siblings, though it doesn't explicitly position itself against a nearby tool like competitor_snapshot.

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?

Usage is implied ('Analyze your app's keywords') and the 'Pro feature' note signals an availability prerequisite, but there is no explicit when-to-use, when-not-to-use, or alternative tool named. The agent is left to infer that this is for keyword research rather than release or metadata workflows.

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