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

With no annotations, the description carries the burden; it discloses that the tool returns the body from beginning to end (no truncation) and frames it as a read-only detailed-reading operation. It does not discuss error cases or output formatting, but for a single-URL read tool this is reasonable disclosure.

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?

Two compact sentences: the first states the core behavior and scope, the second states the usage context. There is no filler or repetition of the title/schema.

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 one-parameter, no-output-schema read tool, the description is complete: it defines the input source via the schema, says what is returned, and states when to invoke it. No important selection or invocation information is missing.

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%, and the description itself adds no parameter detail beyond the schema's existing explanation that the URL may be a Japanese-language URL or path. Baseline 3 applies because the schema already carries the semantic weight.

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 states a specific action ('本文を...返します') on a specific resource (the body of a Prenica page) and adds the full-range scope '最初から最後まで'. It clearly differentiates from search_pages, which is for finding pages, by positioning get_page as the detailed-reading step.

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?

It explicitly says to use this tool when reading details of press releases found with search_pages, naming the prerequisite sibling and the exact use case. This gives the agent a concrete routing rule rather than leaving the choice to inference.

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