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

The description adds valuable behavioral details beyond the annotations: it answers synchronously, and returns insufficient_evidence with partial evidence instead of deferring processing. This explains the tool's error-handling and response pattern, which is not conveyed by the readOnlyHint/openWorldHint/idempotentHint annotations.

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 dense sentence listing numerous dashboard components, which is efficient but slightly run-on. Every phrase adds value, but breaking it into bullets or shorter sentences would improve readability. Still, it contains no filler.

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's complexity, the description covers its purpose, output structure (key card, takeaways, evidence, sources, trust signals, etc.), and behavioral notes (synchronous, insufficient_evidence). The output schema exists, so the lack of exact return format details is acceptable. It is complete enough for an agent to select and invoke it correctly.

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% for all 5 parameters, so the description does not need to elaborate on each. The description does not add parameter-specific meaning beyond schema, but the schema itself is complete, yielding the baseline score of 3.

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 specifies a clear action: 'Run a broad Ask Expert research pass over The Agent Times corpus/events/action metadata' and identifies the exact deliverable: 'a structured, UI-ready dashboard' with enumerated components. This precisely distinguishes it from sibling tools like tat_search or get_article, which are narrower in scope.

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 establishes clear usage context by emphasizing 'broad' research and a dashboard output, implying this is for comprehensive, multi-faceted questions rather than simple lookups. It does not explicitly name alternatives or exclusions, so it earns a 4 rather than a 5.

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