get_validated_trends

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so the safety and idempotency profile is covered. The description usefully adds provenance (earnings cross-validation by Fodda's pipeline) but says nothing about result volume, freshness, or pagination behavior; a 3 is appropriate with annotations doing the heavy lifting.

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 tight sentences, front-loaded with what is returned and followed by the data lineage. No filler, though the second sentence is somewhat redundant with the first.

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?

Parameters and safety annotations are fully covered, but with no output schema the description never sketches the shape of a returned trend, and it provides no routing against the dense set of trend-fetching siblings. Adequate but with clear gaps for a discovery tool in a crowded namespace.

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 all five parameters documented, so the baseline is 3. The description adds no syntax, format, or interaction detail beyond the schema (e.g., how limit and search combine), so it earns no lift.

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 ('Returns') and resource ('market-validated consumer trends from corporate earnings reports'), and clarifies the cross-validation source. However, it does not distinguish itself from close siblings like get_detected_themes, discover_adjacent_trends, or get_earnings_intelligence, leaving the agent to infer boundaries.

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?

No guidance on when to use this tool versus alternatives, and no prerequisites or exclusions. Given the many adjacent trend/earnings siblings, this omission is significant; the agent must guess which trend tool fits a given query.

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