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Get visibility score history

get_app_score_history
Read-only

Track an app's daily visibility score over time to compare discoverability across dates. Provide app ID and optional date range; defaults to the last 30 days.

Instructions

Get the daily visibility score history of one application. The visibility score (0-100) summarises how discoverable the app is across a stable set of keywords from its niche, the same set over time, so two dates are directly comparable. Returns app_id, app_title, the resolved from/to dates, and history[] of { date (YYYY-MM-DD), score }, where score is null on days with no snapshot. Defaults to the last 30 days. The window is capped at 400 days and at the plan history depth: a start date beyond it returns a PLAN_LIMIT error. Reversed dates are swapped and future dates are clamped to today. Pass the numeric internal ID from list_applications, not the store bundle ID. For one keyword rank over time, use get_keyword_rank_history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoEnd date in YYYY-MM-DD format. Defaults to today.
fromNoStart date in YYYY-MM-DD format. Defaults to 30 days ago.
app_idYesThe application internal ID (numeric, e.g. "344" from list_applications results)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.6.1
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observedv1.4.0

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare a safe read-only, non-destructive operation, and the description adds substantial context beyond them: null scores on days without snapshots, default 30-day window, 400-day cap, plan history depth with PLAN_LIMIT error, date reversal swapping, and future-date clamping. This is unusually rich behavioral disclosure.

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?

Front-loaded with the purpose and score definition, then return shape, defaults, limits, errors, and the sibling alternative. Dense but every sentence carries operational information; nothing is filler.

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

Completeness5/5

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

With no output schema, the description correctly documents return values (app_id, app_title, resolved from/to, history[] shape). Error behavior, caps, defaults, and parameter caveats are all covered, so an agent has everything needed to call this correctly.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds genuine value beyond the schema by warning that app_id must be the numeric internal ID from list_applications rather than the store bundle ID, and by restating the from/to defaults and date semantics. It does not add format details for from/to beyond what the schema already says.

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?

States a specific verb and resource ('Get the daily visibility score history of one application') and defines what the score means (0-100 discoverability across a stable keyword set). It explicitly distinguishes itself from the sibling get_keyword_rank_history, so an agent can route correctly without opening either 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?

Gives an explicit alternative and the condition that selects it ('For one keyword rank over time, use get_keyword_rank_history'), plus a prerequisite: use the numeric internal ID from list_applications, not the store bundle ID. When-to-use is unambiguous.

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