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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false), so the bar is lower. The description adds real value beyond them: the exact inclusion criteria for a gap and the shape of what comes back (competitors named plus the domains the engines cited instead). It stops short of mentioning limits on result volume or the significance of the minRuns threshold.

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?

Two sentences, front-loaded with the gap definition and followed by the return contract; no filler or restated name. The first sentence is dense but each clause carries meaning, so it stays readable and earns its length.

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 no output schema, the description has to describe returns, and it does identify the two key payloads (named competitors, cited domains). Combined with the precise gap criteria and full schema coverage, an agent has enough to call it correctly; only volume/pagination and edge-case behavior remain unaddressed.

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%, so days, minRuns, clientId and projectId are already fully documented and baseline is 3. The description's phrase 'recent AI answers' loosely gestures at the days window but adds no syntax, defaults, or interaction detail beyond the schema.

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 defines the exact resource being returned — prompts where the tracked brand is absent from every recent AI answer while competitors are named — rather than vaguely saying 'get gaps'. That operational definition lets an agent distinguish this from adjacent reads like get_content_brief, get_prompt_details, or get_ai_visibility_metrics without opening schemas.

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?

Usage is implied through the tie-in to the in-app Content Brief generator and the note that each gap can become an evidence-grounded brief, which hints at the get_content_gaps → create_content_brief workflow. However, it never states when to prefer this over other visibility diagnostics (get_insights, get_ai_attribution) nor any preconditions, so guidance remains inferred rather than explicit.

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