check_ad_readiness
웹사이트 첫 화면을 읽어 광고 전환 측정 준비가 되어 있는지 본다(Google 태그 관리자 · GA4 · Meta 픽셀 · 사이트 응답). 🔴 로그인 없이 MCP 세션마다 50회, 세션 번호가 없으면 하루 3회(이름을 밝힌 봇은 5회)까지다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | 분석할 웹사이트 주소. https:// 는 빼도 된다 |
웹사이트 첫 화면을 읽어 광고 전환 측정 준비가 되어 있는지 본다(Google 태그 관리자 · GA4 · Meta 픽셀 · 사이트 응답). 🔴 로그인 없이 MCP 세션마다 50회, 세션 번호가 없으면 하루 3회(이름을 밝힌 봇은 5회)까지다.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | 분석할 웹사이트 주소. https:// 는 빼도 된다 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden and does disclose concrete operational constraints: 50 calls per MCP session unauthenticated, 3/day without a session number, 5/day for identified bots. That is genuinely useful rate-limit context rarely surfaced elsewhere. Gaps remain: it does not say whether a login/session changes behaviour beyond quota, nor what a failed or blocked check result looks like.
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?
Two sentences, front-loaded with what is checked, followed by the quota note. No filler. The emoji-as-bullet is slightly noisy but does not obscure meaning.
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 single-parameter read tool with no output schema, the description covers the checks performed and the rate limits, which is the essential part. It does not indicate the shape of the result (per-check pass/fail, summary verdict, diagnostics) or behaviour on unreachable sites, so an agent cannot anticipate the return value.
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?
Only one parameter, and the schema already documents it at 100% coverage including the tip that the https:// prefix may be omitted. The description adds no further semantics about the url argument, so the schema does all the work and the baseline of 3 applies.
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?
States a concrete verb and resource (reads the site's landing page) and enumerates exactly what is checked: GTM, GA4, Meta pixel, and site response. An agent knows precisely what this returns conceptually. It does not, however, contrast itself with the sibling analyze_site, which sounds adjacent in scope.
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?
There is no when-to-use or when-not-to-use guidance and no reference to any sibling tool, even though analyze_site and the campaign/signup tools occupy neighbouring territory. The agent must infer the selection context (pre-campaign readiness check) on its own.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.