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

Annotations already establish readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds real value by enumerating what the response contains (GUID, data roles, version, use cases, tier limits, diagnostic flags), which matters because there is no output schema. It omits error behavior for an invalid slug.

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, no filler: the scope/return payload comes first, then the workflow note. Every clause carries information an agent would otherwise have to guess.

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 one well-documented parameter, no nested objects, and no output schema, the description's return-field enumeration closes the main gap. Only the failure mode for an unrecognized slug is left unspecified.

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 slug parameter is documented in the schema with concrete examples ('gantt-chart', 'radar-chart'). The description only implies the identifier via 'one ... visual' and adds no format or matching detail beyond the schema, so the 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?

States a specific verb ('Return the full catalog entry') and a precise resource ('one SmartVisuals Power BI custom visual'), then enumerates the returned fields. The 'one ...' scope cleanly separates it from the listing siblings find_visuals/list_visuals.

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?

Explicitly sequences it: 'Use after find_visuals to inspect a specific visual,' which tells the agent the discovery-then-detail workflow. It does not address when NOT to use it (e.g., use list_visuals for bulk needs) or what happens on an unknown slug, so it falls short of full alternative routing.

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