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

Goes well beyond the annotations by naming exactly what is destroyed (a database already called by the target name is REPLACED and local edits are lost) and what auth situation applies (no key needed; the server uses the public read-only key). It also explains the idempotent/refresh semantics in user-facing terms. Note the mild tension with openWorldHint=false, since the copy is fetched from the remote host data.azquo.ai, but the endpoint is fixed and read-only, so this reads as an in-ecosystem fetch rather than a genuine contradiction.

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?

Front-loads the action and the source, then the mandatory user-confirmation step, then the destructive caveat. Dense but almost every sentence carries a distinct instruction; the refresh sentence and the key sentence are minor restatements but earn their place for a destructive, externally-sourced operation.

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?

Covers purpose, safety, auth, refresh and the sibling lookup needed before calling, which is complete for a two-parameter tool with no output schema. The only gap is that it never hints at what a successful copy returns or how long it takes, which an agent might want given no output schema exists.

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 both parameters (target and business) are already documented in the schema, making 3 the baseline. The description does add one useful cross-tool cue - use current_business to obtain the name for the confirmation question - but it does not explain the default or formatting of target beyond what the schema already says.

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?

States a specific verb (copy), a specific resource (azquo_skills, glossed as the Azquo usage-skills database) and the exact source (data.azquo.ai into the current business). This is enough to separate it from siblings like copy_from_library or create_database without opening any schema.

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?

Gives explicit when-to-use (local/offline Azquo needs its own copy), when-to-repeat (call again later to refresh), a required pre-condition (ask the user first and wait for a yes, with the exact confirmation wording), and a conditional check against list_databases when a same-named database already exists. Nothing is left to inference.

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