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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered, and the description adds real context: it specifies the shallow-world scope, the revision_id fingerprint, and decodes link_visibility semantics ('invite' = sign-in required, 'public' = anyone with the link reads it). It doesn't mention pagination or rate limiting, so not a 5.

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 definition is a single dense, front-loaded sentence that enumerates return contents efficiently, with the layerz_read contrast placed at the end. The nested inline lists make it harder to scan than a fully terse version, but every clause carries information.

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, so the description carries the return-value burden, and it does this thoroughly by listing the top-level fields and the nested branches[] and sharing.roster structures. An agent knows what to expect from the call without any output schema.

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 single model_id parameter is fully documented in the schema (UUID format, key-scoping behavior). The description adds nothing about the parameter, so the baseline of 3 for a schema-complete single param 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 ('Returns the full detail') plus resource ('of a model') and enumerates the concrete fields returned (items, lists, timelines, formats, revision_id, branches, sharing). It explicitly distinguishes itself from the sibling layerz_read by contrasting payload scope ('Larger payload than layerz_read, which returns a filtered snapshot').

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 names the alternative tool (layerz_read) and gives the distinguishing condition (full detail vs filtered snapshot), so an agent can choose between the two. It does not state explicit when-not conditions or prerequisites for either, so it falls short of a full 5.

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