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keyword_research

Read-onlyIdempotent

Research keyword demand: search volume, difficulty, CPC, and intent, plus keyword ideas, Google Trends interest and related queries, and Google Ads keyword performance. Use for what to target and how much demand exists; for who ranks today use serp_competitors. Already scoped to the connected workspace and its site; call directly, no domain or site parameter is needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNosuggestions/ads_performance: max results.
actionYesWhich operation to run. metrics (volume/difficulty/CPC/intent); suggestions (keyword ideas from seeds); compare_trends (Trends interest, keywords side by side); trend (Trends interest over time for one keyword); related (Trends related queries).
keywordNotrend/related: the single keyword to analyze.
keywordsNometrics/suggestions/compare_trends: the seed or target keywords.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds valuable behavioral context beyond the annotations by clarifying the tool is scoped to the connected workspace and site and that callers should not pass a domain/site parameter.

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 sentences, each earning its place: the first lists what the tool returns, the second gives usage context and names the alternative, and the third resolves a likely parameter question. No filler or redundancy.

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?

The description covers the tool's multi-operation scope, the key decision of when to use it versus serp_competitors, and the scoping caveat about omitting domain/site parameters. With a full output schema, detailed parameter descriptions, and annotations, nothing essential for correct invocation is missing.

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 each parameter and action value is already documented. The description itself adds little parameter-level meaning, though it does clarify that no domain/site parameter is required, which is useful. Baseline 3 is appropriate because the schema carries the parameter semantics.

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 opens with a specific verb and object ('Research keyword demand') and enumerates the concrete outputs: search volume, difficulty, CPC, intent, keyword ideas, Trends interest, related queries, and Ads performance. It also explicitly distinguishes the tool from serp_competitors, so an agent can tell them apart immediately.

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 exactly when to use this tool ('what to target and how much demand exists') and names the alternative for rankings ('who ranks today use serp_competitors'). It also gives a direct call instruction: no domain or site parameter is needed because it is already scoped.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct SEO domain: backlinks, datasets, keywords, local presence, SERP features, and on-page analysis. The descriptions explicitly cross-reference when to use one tool over another (e.g., serp_competitors vs. keyword_research), eliminating ambiguity.

Naming Consistency5/5

All tool names follow a consistent snake_case noun phrase pattern: backlink_profile, dataset_library, keyword_research, local_presence, serp_competitors, site_pages. The convention is uniform and predictable, making the set easy to navigate.

Tool Count5/5

Six tools is a well-scoped count for an SEO analysis server. Each tool covers a major SEO capability without redundancy, and the number is well within the ideal range for a focused toolkit.

Completeness4/5

The toolset covers the core SEO research landscape: keyword demand, SERP competition, backlinks, local presence, on-page diagnostics, and dataset templates. The one notable gap is the mention of gsc_performance in site_pages without a corresponding tool, leaving search-performance questions as a dead end.

Resources