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Klartika

gsc-mcp-server

by Klartika

batch_url_inspection

Batch inspect multiple URLs in Google Search Console to see indexation status and performance data. Provide your site property and URL list for one request.

Instructions

Inspect multiple URLs in batch (within API limits).

Args:
    site_url: Exact GSC property URL from list_properties (e.g. "https://example.com/" or
              "sc-domain:example.com"). Domain properties cover all subdomains — use the
              domain property as site_url and filter by page to analyze a specific subdomain.
    urls: List of URLs to inspect, one per line

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYes
site_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It mentions 'within API limits' indicating rate limits and explains domain property coverage, but it does not explicitly state that this is a read-only operation, nor does it describe error handling or failure outcomes. Output schema covers return values, but other behavioral traits are sparse.

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 and well-structured: a one-line summary followed by two parameter entries. No redundant or extraneous text—every sentence adds value, making it easy to scan and understand.

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?

For a simple batch tool with only two parameters and an output schema, the description covers essential usage and parameter semantics. It lacks explicit alternatives or exclusions, but given the small scope and presence of an output schema, it is reasonably complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has no descriptions (0% coverage), but the description fully compensates: it explains the exact format for site_url with examples, distinguishes domain vs URL properties, and specifies that urls should be one per line. This adds essential meaning beyond 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 tool inspects multiple URLs in batch, with a specific verb+resource. It distinguishes from single-URL inspection tools like inspect_url_enhanced by emphasizing 'multiple' and 'batch', making the purpose unambiguous.

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?

The description provides clear context on how to use site_url, including domain vs URL property handling and filtering by page for subdomains. However, it does not explicitly mention when to prefer this tool over alternatives like inspect_url_enhanced, relying mostly on the name and 'batch' wording.

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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