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

Annotations already declare this as a read-only, open-world operation. The description adds useful provenance and freshness context by naming 'live page facts', Google’s index status from URL Inspection, and previous-period comparison, but it does not disclose auth requirements, rate limits, or how the sources are combined.

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 front-loaded sentence that immediately establishes the scope and then lists the three returned datasets. It is dense but every clause contributes directly to understanding the tool.

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 five-parameter aggregation tool without an output schema, the description sufficiently enumerates the data domains the agent will receive. It could say more about how the period and detail modes interact, but the schema covers those mechanics.

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 high at 80%, so the schema already documents url, detail, offset, start_date, and end_date. The description does not add format or selection guidance beyond what the schema provides, so the baseline score 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 the resource scope (one URL) and enumerates the three data domains returned: live page facts, Google index status, and Search Console queries. It is specific about contents, but it does not explicitly distinguish this aggregate view from siblings such as seo_index or seo_data.

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 phrase 'Everything for one URL' implies this is the single-URL deep-dive tool, but there is no explicit guidance on when to choose it over seo_index, seo_data, or seo_compare. Usage is inferable but not directed.

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