get_site_explorer
Full SEO overview for a domain (backlinks, authority, top pages, anchor text)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Full SEO overview for a domain (backlinks, authority, top pages, anchor text)
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds context about the data types included in the overview, but it does not disclose additional behaviors such as rate limits, data freshness, or potential limitations, which would be valuable but are not required given the annotation coverage.
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 a single, concise sentence that is front-loaded with the core purpose ('Full SEO overview for a domain') and immediately followed by clarifying examples. Every word earns its place, making this an efficient and well-structured description.
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 tool with rich annotations and no output schema, the description provides a reasonable outline of the return content (backlinks, authority, top pages, anchor text). It is not exhaustive—other potential metrics like referring domains or link velocity are omitted—but it gives the agent enough context to understand the tool's scope and select it appropriately.
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 input schema only defines a 'domain' string with 0% description coverage. The description does partially compensate by stating the tool operates 'for a domain', clarifying that the parameter expects a domain name. However, it does not provide format details (e.g., with or without protocol) or any further semantic guidance, leaving the parameter semantics minimally addressed.
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 clearly states the tool provides a 'Full SEO overview for a domain' and explicitly enumerates the included data types (backlinks, authority, top pages, anchor text). This distinguishes it from sibling tools like get_backlinks or get_domain_authority, which focus on individual metrics, making it an aggregate overview tool.
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 phrase 'Full SEO overview' implies this is the go-to tool for a comprehensive domain snapshot, but it does not explicitly state when to use it over sibling tools or mention exclusions. The usage context is implied rather than clearly articulated, so there is no direct guidance on alternatives.
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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