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

The annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description usefully adds that the text is checked and returned findings only and is not stored, plus that the linked template is the required source. It stops short of describing what a finding looks like, how many are returned, or whether failures block anything.

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?

It is front-loaded with the verb and resource, then a dense but readable list of checks, then two short scoping sentences. The middle clause is long and list-like but every item is a distinct check, so little could be cut without losing specification.

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 must carry the return-value burden; it does so partially by stating that findings are returned and nothing is stored. For a single-parameter validator with strong annotations, that is nearly enough, with only the shape of the findings left unexplained.

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 100% and the single parameter is already documented as the full summary in Markdown. The description adds real meaning beyond the schema by tying the input to Agent Blueprint's specific template and noting the one-page length expectation, which constrains what valid input looks like.

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 specific verb (checks) and resource (a one-page agent summary written from Agent Blueprint's template) and enumerates the exact structural checks: eight sections in order, stage line, rule endings, Open item ownership, no placeholders, one-page length. An agent can tell immediately this is a structural validator and not a content reviewer, which also separates it cleanly from the cost, rendering, and benchmark siblings.

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 a clear scope boundary — 'It checks shape only, not whether the answers are right' — which tells the agent when this tool is the wrong choice for content accuracy questions. What is missing is any positive routing guidance, such as when to run this versus estimating cost or rendering the map, though the unrelated siblings make that gap minor.

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