サイトの概要を知る
site_overview「SEO対策研究室」の概要を返します。SEO コンサルタントの柏崎剛が、検索エンジン対策の基本から AI 検索への対策、WordPress 向けの無料 SEO プラグインまでを、初心者にもわかる言葉で解説しているサイトです。だれが書いているか、何が調べられるかを最初に知りたいときに使います。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
site_overview「SEO対策研究室」の概要を返します。SEO コンサルタントの柏崎剛が、検索エンジン対策の基本から AI 検索への対策、WordPress 向けの無料 SEO プラグインまでを、初心者にもわかる言葉で解説しているサイトです。だれが書いているか、何が調べられるかを最初に知りたいときに使います。
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful content context (author, topics, audience) but does not disclose any additional behavioral traits such as output shape, length, or dynamic behavior. This is adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three compact sentences: action, content summary, and usage condition. It is front-loaded with the core action and every sentence adds distinct information without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a no-parameter read-only overview tool, the description fully covers what the tool returns, the site's subject matter, and when to call it. No output schema exists, but the content summary and usage guidance are sufficient for an agent to select and invoke the tool correctly without missing essential information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and schema description coverage is 100%, so there is no parameter burden for the description to carry. Per the baseline for 0-param tools, a 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
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: '「SEO対策研究室」の概要を返します' (returns the overview of the SEO対策研究室 site). It then clarifies the site's content and author, and the final sentence positions it as the entry point for learning who writes the site and what can be researched, distinguishing it from content-fetching siblings like get_page and search.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use the tool: 'だれが書いているか、何が調べられるかを最初に知りたいときに使います' (use when you first want to know who writes it and what can be investigated). It gives clear context but does not name exclusions or alternative tools, so it stops short of a 5.
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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