get_v1_backlink_checkerSee the top 20 backlinks to any website or webpage. Group: Link Building. Billing per call: 1 Credits.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| mode | No | One of the following: - exact: Only specified URL example.com/path/ - subdomains: Domain including subdomains *.example.com/* |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description mentions the limit 'top 20' and the cost '1 Credits', which adds transparency. However, it does not disclose potential side effects, authentication requirements, rate limits, or error behaviors. Since there are no annotations, the description carries the full burden, but it is not fully transparent.
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 concise and well-structured. It includes essential information (function, limit, billing) without unnecessary fluff. Each sentence adds value, making it efficient and to the point.
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?
The description covers the main functionality, the limit, and billing, but it does not specify the output format or any prerequisites. Since there is no output schema, the description should provide more detail about what the user can expect, but the tool is simple enough that this is not critical.
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 'mode' parameter has a clear description with options, but 'url' only has a title and example. The example 'ahrefs.com' makes it clear that it is the target URL, but the lack of explicit description for 'url' is a minor gap. Overall, parameter meaning is adequately conveyed.
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's function: 'See the top 20 backlinks to any website or webpage.' It is specific (returns top 20 backlinks) and includes additional context like group and billing, but the core purpose is unambiguous.
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?
While the description implies usage when backlinks are needed, it lacks explicit guidance on when to use this tool versus alternatives. No mention of when not to use or specific use cases beyond the general 'backlink checker' function.
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.
Each tool targets a distinct SEO function: backlinks, broken links, keyword difficulty, keyword generation per platform, rank checking, SERP analysis, and website metrics. The platform-specific keyword generators (Amazon, Bing, Google, YouTube) are clearly differentiated. No two tools overlap in purpose.
All tools follow a uniform 'get_v1_' prefix followed by a descriptive noun phrase, creating a predictable and coherent pattern. The consistent use of snake_case and the same verb prefix makes the toolset easy to scan and understand.
With 11 tools, the set is well-scoped for an SEO data provider. Each tool represents a meaningful API endpoint without unnecessary duplication or bloat. The count falls comfortably within the ideal range for a focused server.
The toolset covers core SEO workflows: link analysis (backlinks, broken links, authority), keyword research (difficulty, generators, rank), and SERP/traffic metrics. Minor gaps exist, such as missing site audit or content explorer tools, but the provided surface handles typical use cases effectively.