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

Annotations already declare idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is partly covered. The description adds meaningful context beyond them: this is a non-mutating rehearsal of publishing and it reports both errors and warnings with spec locations, which tells the agent what to expect rather than just that nothing is destroyed.

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?

A single sentence that front-loads the key mental model ('dry run of publishing') and then the output shape. Nothing is redundant or padding.

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?

With an output schema present, return values need not be explained, and both params are fully described in the schema. What's slightly missing is whether a failing validation returns normally (as a report) versus raising an error, and any precondition that a draft must exist — small but relevant gaps for a validation tool.

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 both parameters are documented with provenance hints (flow UUID from list_flows, event UUID from search_events). The description adds no further meaning about how flow_id/event_id scope the validation, so the schema carries the load — baseline 3.

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 operation (a dry-run validation of a draft flow) and states the return content (every error and warning with a JSON pointer into the spec). The 'dry run of publishing' framing implicitly separates it from publish_flow, though it never names that sibling explicitly.

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?

Use is only implied by the phrase 'dry run of publishing' — an agent can infer it should be called before publish_flow. There is no explicit when-to-use statement, no exclusion (e.g. don't call on a published flow), and no named alternative such as get_flow or publish_flow.

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