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mario-hernandez

google-search-console-mcp-claude-code

inspect_url

Inspect a single URL to retrieve indexing status, last crawl date, canonical URL, mobile usability issues, and rich results from Google Search Console.

Instructions

Inspect a single URL against Google's index.

Args: site_url: Property URL (e.g. https://example.com/ or sc-domain:example.com). page_url: Full URL to inspect (must belong to site_url). language: BCP-47 lang for human-readable strings.

Returns indexing status, last-crawl, canonical, mobile usability, rich-results.

IMPORTANT: Use ONLY the data returned by this tool. Do not speculate about figures, do not extrapolate beyond the time range queried, and cite site_url + date_range when reporting numbers to the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
site_urlYes
page_urlYes
languageNoen-US
Behavior3/5

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

No annotations exist, so the description carries the full burden. It describes the tool as inspecting a URL (presumably read-only) but doesn't explicitly state nondestructive behavior, rate limits, or auth needs. The warning about data usage adds some transparency.

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?

The description is concise with a clear purpose line, structured Args section, and an important usage note. Every part earns its place without 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?

Given no output schema, the description enumerates return values (indexing status, last-crawl, etc.) and covers all parameters. The warning completes the guidance for downstream use.

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 adds crucial details: site_url format (including sc-domain), page_url must belong to site_url, and language default (en-US). This significantly augments the bare schema.

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 clearly states the action ('Inspect a single URL against Google's index') and lists the returned data types (indexing status, last-crawl, etc.), distinguishing it from sibling tools like search_analytics or list_sitemaps.

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?

Provides explicit warnings about using only returned data and not extrapolating, and instructs to cite site_url + date_range. However, it does not compare to alternatives or say when not to use.

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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