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

Goes well beyond the annotations: it discloses that the Atlas applies its own validation guards (price must be printed on the page, job boards must be your own, release notes need dates), states read-timing (new pricing page within the hour, careers/releases on the next atlas_owner_remeasure read), and warns that omitted entries are cleared. The auth failure mode (401 + OAuth) is also stated.

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?

Three dense sentences, front-loaded with what to send; every clause carries information (targets, guards, timing, auth). Slightly compressed prose and a 'proved owner' phrasing add mild parsing friction, but there is no filler.

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 4-parameter mutation with no output schema and non-destructive/idempotent annotations, the description covers targets, validation expectations, replacement semantics, timing, and auth. What it omits is response shape and how validation failures are surfaced, which is a minor gap 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 coverage is already 100%, but the description still adds semantics the schema lacks: what content each URL must satisfy (printed price, own job board, dated entries) and the whole-payload replacement rule. This meaningfully augments parameter interpretation rather than restating field names.

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 concrete verb+resource: telling the Atlas (owner tooling) which three page types on your own domain it should read. It also implicitly separates itself from atlas_owner_remeasure by describing what that sibling does with the pages. It stops short of an explicit 'use this instead of X' framing, but an agent can identify the operation.

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 gives real operating context: all three URLs must be sent each call because an omitted one is cleared, and it requires a signed-in inite.ai account (guest call returns 401 and starts OAuth). It does not spell out when to prefer this over atlas_owner_propose_edit or atlas_owner_verify, so 'alternatives' guidance is partial.

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