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Get developer portfolio

get_developer
Read-onlyIdempotent

A developer record plus their published apps. {id} is the Apple artistId (numeric) or the Google developerId string (e.g. "Google LLC").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesApple artistId (numeric) or Google developerId string.
langNoLanguage. Derived from country when omitted.
limitNoMax apps returned. Default 60.
storeYesTarget store.
countryNoISO-3166 alpha-2 storefront/region, lowercase. Defaults to us.
fullDetailNoGoogle only; expensive. Default false.

TDQS

A3.8/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, so the description adds minimal behavioral context. It mentions the id format for each store, which is helpful but not deep behavioral disclosure. No contradictions with annotations.

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 extremely concise—two sentences that convey the core function and the id format. No filler or redundancy; every sentence earns its place.

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?

For a relatively simple read-only tool, the description adequately states what is returned and clarifies the id format. With no output schema, the description does not elaborate on the structure of the returned data, but the purpose is clear enough. The schema covers all parameters, so the description is sufficiently complete.

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?

The input schema has 100% coverage with descriptions for all parameters. The description's note about `{id}` being Apple artistId or Google developerId repeats the schema's parameter description, adding no new semantic information. Baseline 3 applies due to full schema coverage.

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 clearly states the tool returns 'a developer record plus their published apps', which is a specific and distinct purpose. The name 'Get developer portfolio' and the description differentiate it from sibling tools like get_app (single app) or search_apps.

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?

The description implies usage for retrieving developer details and associated apps, but does not explicitly compare it to alternatives or state when not to use it. No exclusions or alternative tool references are provided, so the guidance is only implied.

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 distinct data resource: app details, reviews, permissions, data safety, charts, categories, developer, similar apps, search, autocomplete, and ASO keyword/rank tools. Even get_app vs get_apps_batch is clearly separated by single vs batch/bundleId lookups.

Naming Consistency4/5

Most tools follow a get_* verb_noun pattern (get_app, get_charts, get_developer), but autocomplete_suggest and search_apps deviate slightly. The style is otherwise consistent with clear snake_case naming.

Tool Count5/5

13 tools is well within the ideal range for a store data API serving both Apple and Google. Each tool covers a distinct aspect, and none are redundant or excessive.

Completeness4/5

The tool set covers all major read-only store data needs: search, detailed app info, reviews, charts, categories, developer, similar apps, and ASO insights. Minor gaps include lack of time-series rank tracking and no dedicated changelog endpoint, but version history is included in get_app.