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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so safety and repeatability are covered by structured data. The description adds that this is a fixed, argument-free document fetch whose payload includes several named sections, which is useful context. It does not say whether the content is live-fetched or cached, how large the response is, or whether it can go stale — modest added value on top of the annotations.

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?

A single front-loaded sentence with no filler; the resource is stated first and the returned contents follow. The colon-and-list construction is slightly dense but every element is informative, and nothing is repeated.

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 zero-argument, read-only fetch with no output schema, the description does the important remaining job of enumerating the returned contents, which substitutes for a missing output schema. The only gap is whether the data can be stale or how it should be cited, which is minor for this tool class.

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?

There are zero parameters, which is the baseline-4 case; nothing about parameter meaning needs to be explained. The description correctly implies no filtering or selection is possible, since everything is returned in one call.

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 names a specific resource (the privaku.com privacy policy) and enumerates what it returns: short version, per-section text, last-updated date, per-app policy links, and contact details. That is far more than a restatement of the name. It does not differentiate against named siblings, though the siblings (get_product, search_site, get_download_links) are clearly different resources, so confusion risk is low.

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?

Usage is only implied: an agent infers it should call this when it needs privacy/compliance information about Privaku. There is no explicit when-to-use framing, no when-not-to-use, and no pointer to an alternative (e.g. a generic search or fetch tool) for related policy content. The zero-parameter nature makes the intent fairly self-evident, which keeps this at minimum-viable rather than worse.

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