Skip to main content
Glama

Generate Keyword Content Plan

generate_keyword_plan
Destructive

Generate an AI keyword/content plan for the website. Optionally guide it with topic instructions and comma-separated primary/secondary keywords. Can take a minute or two. Set replace_existing=true only after the user explicitly approves discarding the current plan's pending topics; that path also requires confirm_replace_existing=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
website_idYes
primary_keywordsNo
replace_existingNo
secondary_keywordsNo
topic_instructionsNo
confirm_replace_existingNo

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already carry destructiveHint=true, but the description adds concrete guardrails: replace_existing=true requires explicit user approval to discard pending topics and also requires confirm_replace_existing=true. It also warns about multi-minute latency, going beyond what annotations provide.

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, front-loaded with the core action, followed by optional inputs, latency, and then the critical destructive guardrail. No filler or redundant restatement of schema fields.

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?

Complete enough to invoke: required website, optional keyword/instructions, wait-time expectation, and safeards for the destructive path. It does not describe the return value or point to get_keyword_plan for retrieving the generated plan, but there is no output schema and the core behavior is clear.

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?

With 0% schema coverage, the description is the main source of parameter meaning. It clarifies that primary/secondary keywords are comma-separated, treats topic_instructions as an optional guide, and explains the replace_existing/confirm_replace_existing relationship. It does not explicitly define website_id, but the name and required status make it reasonably clear.

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?

Description opens with a specific verb and resource: generate an AI keyword/content plan. It distinguishes itself from sibling tools such as get_keyword_plan (retrieval) and generate_article (article creation) by naming the output type.

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?

It gives clear context: use it to produce a plan, optionally shaped by topic instructions and keywords, with a latency warning. It does not explicitly contrast with fetching an existing plan via get_keyword_plan or say when not to generate, so it lacks full when/when-not alternatives.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation4/5

Most tools target a distinct resource and action, making selection straightforward. Minor overlap exists between get_ai_search_traffic and get_search_performance's AI-assistant traffic section, and among the three search-performance reporting tools, but descriptions are clear enough to avoid major confusion.

Naming Consistency5/5

All tools follow a consistent lowercase snake_case verb_noun pattern: check_, generate_, get_, list_, publish_, request_, run_. The verbs are descriptive and every noun object clearly identifies the resource being acted on.

Tool Count4/5

At 18 tools the set is slightly above the ideal 3-15 range, but the scope is broad enough to justify it: website management, article generation, publishing, search analytics, AI search, indexing, backlinks, and auditing. No tool feels redundant enough to remove.

Completeness4/5

The surface covers the main SEO lifecycle well: websites, keyword plans, articles, publishing, search performance, indexing, backlinks, and audits. Obvious gaps are article update/delete operations and website removal, but agents can work around these for most core workflows.

Resources