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

Annotations already cover the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), and the description adds genuinely behavioral context beyond them: the dual stored-vs-resolved output with defaults filled in, and the application scope restriction. This helps the agent interpret results correctly and is consistent with the read-only annotation, so no 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?

Three sentences, no filler, with the core action front-loaded and the return contents immediately following. The second sentence (scope of branding application) and third sentence (pointer to the update tool) each earn their place and add decision-relevant information rather than restating the 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 read tool with strong annotations and no output schema, the description covers the key decision points: what is returned, the stored-versus-resolved nuance, where branding applies, and which sibling performs writes. The only real gap is the unresolved semantics of workspaceId being optional, and the absence of any return-format detail, though no output schema exists to lean on.

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 0% and the description never mentions workspaceId, so the description does not compensate for the missing schema documentation as the rubric prefers. However, the single parameter is a plainly named string ID whose meaning is self-evident and implied by the description's subject ('a workspace's branding'), and there are no enums or nested objects; the one notable gap is that required=0 (optional workspaceId) is never clarified.

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 opens with a specific verb+resource ('Get a workspace's branding') and enumerates the exact fields returned (logo presence, brand name, accent color, powered-by toggle), so an agent knows precisely what to expect. It further distinguishes the two output modes — stored values versus fully-resolved values with CampaignStack defaults — and explicitly separates this read tool from the update sibling.

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?

The description names the mutation alternative explicitly ('Use campaignstack_update_workspace_branding to change values') and gives the switching condition, which is precisely the guidance an agent needs. It adds useful scope context by noting branding applies only to client-facing artifacts like shared reports, though it does not address when to prefer this over other get_* workspace siblings.

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