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

Annotations already declare readOnlyHint/destructiveHint=false, but the description adds valuable context beyond them: no authentication required, usable anonymously, and the result set is pinned to official samples even when logged in. It does not cover rate limits or error behavior, but the added auth/scope semantics are meaningful.

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?

Labeled sections (用途 / list_projects との違い / ページング / 入力 / 出力) are front-loaded and each line carries distinct information. Slightly repetitive since paging defaults appear in both the paging and input lines, but overall efficient.

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 simple read-only list tool with no output schema, the description covers auth requirements, scope, alternative routing, paging, inputs, and the return shape (ids + titles with total/totalPages). Nothing an agent needs to call it correctly is missing.

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 both parameters are fully documented there (defaults, max 100). The description restates the paging defaults (page=0, itemperpage=24) but adds no syntax or meaning beyond the schema, so baseline 3 applies.

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 and resource ('returns a list of public structure diagrams of official sample workspaces') and explicitly names the sibling it is not (list_projects). An agent can distinguish it from list_projects without opening either 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?

Explicitly states when to use it ('reference examples for new designs, building on samples') and draws the exact boundary against list_projects ('list_projects = projects you have permission to view, not including samples; this tool = official samples only'). 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.