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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=false, so the safety profile is covered structurally. The description adds essentially nothing beyond those hints: it doesn't say whether marking DISCARDED removes the suggestion from later listings, whether the action is idempotent, whether it can be reversed, or whether it affects the parent work item's evaluation state. Given the tool mutates state and one enum value reads as a rejection, that silence is a real gap.

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 twelve-word sentence with the action front-loaded and no filler or redundancy. It is arguably under-specified rather than padded, which the other dimensions already penalize rather than this one.

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 two-parameter mutation with full schema coverage, no output schema, and complete annotation hints, the definition is minimally adequate to invoke it correctly. What is missing is post-call expectations: whether the suggestion persists, what state changes downstream, and whether the caller needs to re-query anything.

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% with both parameters documented and an explicit enum, so the schema carries the semantic load. The description clarifies that acted_on is a decision about a suggestion, which slightly reinforces the enum meaning, but adds no format, ID provenance, or constraints. 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?

The description names a specific verb ("Mark ... as") and resource ("an AI suggestion") and explicitly enumerates the two outcomes, acted on vs. discarded. It is clearly distinguishable from all listed siblings, none of which touch suggestions. It stops short of 5 because it doesn't say where suggestions originate (evaluation results, refinement reports) or what object type the ID belongs to.

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?

There is no when-to-use guidance, no exclusions, and no alternatives named. The agent is not told whether this is the correct terminal step after get_refinement_report or evaluate_work_item, nor whether a suggestion must first be reviewed. It is only implied that you call this once you have decided on a suggestion.

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