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

Annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds value by specifying the data source (DataForSEO) and providing an example call, but does not disclose potential limitations like rate limits or cost implications. Overall, it complements the annotations well.

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, consisting of one sentence plus an example. It immediately states the purpose and includes a practical code snippet. While concise, the example adds slight length, but overall it is well-structured and front-loaded.

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?

Given the tool has no output schema, the description sufficiently explains what the tool returns (list of key metrics). It covers the essential aspects for a summary tool, including target parameter and API auth key. No gaps in required information are evident.

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 already provides clear descriptions for all parameters (100% coverage). The description adds an example demonstrating usage but does not introduce new meaning beyond what the schema offers. The baseline of 3 is appropriate.

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 it provides a backlink profile summary, listing specific metrics like total backlinks, referring domains, domain rank, dofollow/nofollow split, and spam score. It distinguishes itself from sibling tools (e.g., seo_backlinks_list, seo_backlinks_anchors) by focusing on the 'how strong is this domain's link profile' overview.

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 description identifies the tool as a summary overview for assessing link strength and provides an example. However, it does not explicitly state when to use this tool versus its siblings (e.g., for detailed backlinks list or anchor text analysis), though the name and content imply the appropriate context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.