serp_preview

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

With no annotations, the description must carry the burden of behavioral disclosure. It adds the detail that the preview includes truncation, which is a useful behavioral trait. However, it does not clarify whether the tool fetches the URL or uses only the provided strings, nor does it describe the output format or any limitations. This leaves some ambiguity for the agent.

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, front-loaded with the core purpose. It contains no extraneous words and effectively conveys the tool's function and a key behavior.

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 simple tool with 3 parameters and an output schema, the description covers the essential purpose and a notable behavioral detail. Since an output schema exists, return value details are not required. However, it lacks context about the preview format (e.g., whether it returns an image or HTML) and usage boundaries, which slightly reduces completeness.

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 schema description coverage is 0%, so the description must compensate by explaining parameter meaning or constraints. The description does not mention the parameters (title, description, url) at all. While the parameter names are self-explanatory, the description adds no additional semantics such as format requirements, character limits, or relationships between 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 function: 'Preview how a result will render in Google.' It uses a specific verb ('Preview') and resource ('result in Google'), and the focus on rendering distinguishes it from sibling tools like check_title_length or generate_meta_tags. The additional detail 'including truncation' further specifies the scope.

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 implies usage for visualizing a Google SERP rendering, but it does not explicitly state when to use this tool over alternatives or provide exclusions. For instance, it does not mention that check_title_length or check_description_length are better for measuring character counts. This is implied rather than explicit.

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