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

The annotations already establish that this is a read-only, idempotent, non-destructive, closed-world operation. The description adds that it returns both full textual content and published JSON-LD schema, which is useful beyond the annotations, but it does not disclose limits such as content size, truncation behavior, or whether schema may be absent.

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 efficient sentence with no wasted wording. The core resource and return content are 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?

There is no output schema, but the description names the key return components: full page text and published JSON-LD schema. Combined with the fully documented input schema and safety annotations, this is close to complete, though it leaves identifier-selection behavior unclear.

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 url, slug, and page_id parameters are already documented. The description adds no parameter-level guidance, such as whether one identifier is preferred or whether multiple identifiers may be combined, 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 uses a specific verb and resource: it retrieves full page textual content plus published JSON-LD schema. That is clear enough to distinguish it from generic document or search tools, but it does not explicitly differentiate it from siblings such as get_schema_context or search_enriched_page_contexts.

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 "for grounded evaluation" gives an implied use case, but the description does not say when to use this tool instead of search_content, get_document, get_schema_context, or other page-content siblings. There are no exclusions or selection criteria.

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