get_anchors

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool 'Returns anchor texts used in backlinks, with metrics including referring domains, total backlinks, and nofollow counts,' which describes output content but lacks critical behavioral details. It doesn't mention rate limits, authentication requirements, pagination behavior (implied by 'page' and 'size' parameters but not explained), error handling, or whether it's a read-only operation. For a tool with 8 parameters and no annotation coverage, this is insufficient.

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 in two sentences: the first states the purpose and technology, the second details the return metrics. It's front-loaded with the core function and avoids unnecessary fluff. However, it could be slightly more efficient by integrating the technology mention ('using Serpstat API') into the first clause without losing clarity.

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's complexity (8 parameters, no annotations, no output schema), the description is incomplete. It covers the basic purpose and output metrics but misses crucial context: no guidance on usage vs. siblings, limited behavioral transparency, and no explanation of how parameters like 'count' or 'sort' affect results. For a data retrieval tool in a crowded namespace of backlink-related tools, this leaves significant gaps for an agent to operate effectively.

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 description adds minimal parameter semantics beyond the input schema. It mentions 'domain or URL analysis' which relates to the 'query' and 'searchType' parameters, and 'anchor text' which relates to the 'anchor' parameter, but doesn't explain how these interact or provide usage examples. With 100% schema description coverage, the schema already documents all parameters thoroughly, so the baseline is 3. The description doesn't compensate with additional insights like parameter interdependencies or practical tips.

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 purpose: 'Get anchor text analysis for backlinks using Serpstat API.' It specifies the action ('Get'), resource ('anchor text analysis for backlinks'), and technology ('Serpstat API'). However, it doesn't explicitly differentiate from sibling tools like 'get_top10_anchors' or 'get_active_backlinks', which appear related to backlink analysis, leaving some ambiguity about when to choose this specific 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 description provides no guidance on when to use this tool versus alternatives. It mentions 'domain or URL analysis' but doesn't specify scenarios, prerequisites, or comparisons with sibling tools (e.g., 'get_top10_anchors' for top anchors or 'get_active_backlinks' for active backlinks). This lack of context makes it difficult for an agent to select this tool appropriately among many backlink-related options.

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