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Get keyword search-volume overview

get_keyword_overview
Read-onlyIdempotent

Look up monthly search volume, keyword difficulty, CPC and competition level for up to 50 search terms in one country. Values come from Appskyline's shared DataForSEO cache; terms missing or stale in the cache trigger a live, billable upstream lookup, so batch terms rather than calling once per keyword.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoTwo-letter language code (e.g. en, it)
termsYesSearch terms to look up (max 50 per call, no commas)
countryYesTwo-letter country code (e.g. US, IT)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
langYes
statusYes
countryYes
keywordsYes
returnedYes
truncatedYes

TDQS

A4.3/5.0
Behavior5/5

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

Beyond the read-only/idempotent annotations, the description discloses a meaningful behavioral trait: values come from a shared cache and stale/missing terms cause a live upstream lookup that is billable. This directly informs cost-sensitive billing behavior and is exactly the kind of context annotations cannot provide.

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?

The description is concise and front-loaded with the core purpose, then follows with the important caching and billing caveat. Two sentences carry the full message with no fluff, though it could arguably be more structured with explicit parameter mapping.

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?

Given the input schema covers all parameters, an output schema exists, ans the annotations cover safety, the description adds the one missing strategically important piece: billing behavior around cache misses. Nothing essential for an agent to call this tool correctly is missing.

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?

Because schema description coverage is 100%, the schema already documents terms, country, and lang. The description adds practical semantics by stating the tool handles 'up to 50 search terms in one country' and stresses batching to avoid per-keyword bills, which gives extra meaning to the terms parameter beyond its schema constraints.

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 specifies the action ('Look up monthly search volume, keyword difficulty, CPC and competition level') and the resource (up to 50 search terms in one country). It differentiates the tool's overview function from keyword history or ranking tools, though it does not explicitly name sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

The description gives clear usage context: terms should be batched, max 50, single country at a time, and callers should avoid calling once per keyword. It does not explicitly say when to use this tool over sibling tools like get_keyword_history or list_keywords.

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
Disambiguation4/5

Most tools cleanly split by entity: apps, keyords, store listing, reviews, search. Potential confusion exists between get_store_isting and get_store_metadata, and show_app_overview vs list_keywords, but the descriptions are sufficiently specific to guide selection.

Naming Consistency4/5

The set uses lowercase snake_case verb_noun patterns, with get_X for single resources, list_X for collections, add_keyword, search_store_results, and show_app_overview. The mixture of show/get is minor inconsistency, and list_google_play_reviews is a nice exception, but overall it's cohesive.

Tool Count5/5

The domain is built around app tracking, keyword research, store data, and engagement, and 13-14 tools is well within the sweet spot. Few tools feel obviously redundant, and each covers a distinct part of the ASO workflow.

Completeness3/5

The core read/query workflows are covered: list apps, list keywords, get rankings/history/volume, fetch store listing/metadata, and search. However, add_keyword is the only keyword mutator — there is no delete_keyword or update_keyword — creating a real dead-end for tracked-keyword management. Also review coverage is limited to Google Play alone.

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