Serpstat MCP Server

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 effectively describes the tool's output ('Returns target domains with total link counts') and high-level purpose, but lacks details about potential rate limits, authentication requirements, error conditions, or pagination behavior (though pagination parameters exist in the schema).

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 efficiently structured in two sentences: the first states the core functionality and output, the second explains the value and use cases. Every phrase adds meaningful information with zero wasted words.

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 read-only analysis tool with 6 parameters and no output schema, the description adequately covers the purpose and value, but could benefit from more behavioral details (like pagination handling or performance characteristics) since annotations are absent. The high schema coverage helps, but the description doesn't fully compensate for the lack of output schema and annotations.

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?

Schema description coverage is 100%, so the schema already documents all six parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema, but it does provide context about what the analysis reveals, which helps understand the overall purpose of the parameters.

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 with specific verbs ('Get external domains that receive outbound links') and resources ('from the analyzed domain'), distinguishing it from sibling tools like 'get_active_backlinks' (which likely analyzes inbound links) and 'get_active_outlinks' (which might return individual links rather than aggregated domains).

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 clear context for when to use this tool ('revealing partnership networks, referenced sources, and linking patterns' and 'Helps identify collaboration opportunities by analyzing which domains competitors link to'), but it doesn't explicitly mention when not to use it or name specific alternative tools among the many siblings.

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