get_ai_visibility_dashboard

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

No annotations are provided, so the description carries the full burden. It declares the tool is 'Read-only' and explains the return value details (scores, mention rate, per-provider breakdowns, etc.) and the number of AI queries per check. It could mention caching or rate limits but is otherwise transparent.

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?

The description is a single concise paragraph that front-loads the main action and then efficiently lists details. Every sentence adds value and there is no redundancy.

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?

Given the tool has one required parameter and no output schema, the description thoroughly explains the return content (score, mention rate, per-provider, rankings, analysis) and contextualizes the cost (9 queries per check). It also differentiates from related tools in the sibling set.

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% (one parameter, projectId). The schema's description already says 'Project ID (from list_projects).' The description adds no further semantics about the parameter, but since coverage is high, a baseline score of 3 is appropriate.

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 clearly states the tool's purpose: 'Get the latest AI Visibility scores for all competitors.' It identifies the unique dimension of CompetLab and distinguishes from sibling tools by explicitly naming get_ai_visibility_history and get_ai_visibility_trend.

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?

The description provides explicit guidance on when to use this tool ('Use this for the current snapshot') and when to use alternatives ('use get_ai_visibility_history for past checks or get_ai_visibility_trend for time-series data'). It also notes that each check uses 9 AI queries.

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