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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds real behavior beyond that: what fields the query is matched against, that results are relevance-ordered, that 'company' matches both speakers from it and discussion of it, and exactly which fields come back per result.

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?

Three dense sentences that front-load the core action and matching rules, then filters, then return shape. Nearly every clause carries information, though the phrase 'the moments Real Alpha cut from long interviews' is slightly indirect framing before the actionable part.

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 compensates by enumerating result fields (speaker, role, show, date, quote, citation page). Combined with matching semantics, filter dimensions, and ranking, an agent has everything needed to call it and interpret results.

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 every parameter including defaults and limits is already documented; that establishes a baseline of 3. The description restates the filter dimensions ('who is talking', 'a company', 'a show', 'how recent') and clarifies the dual semantics of company matching, but adds no syntax, format, or default details 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?

States a specific verb and resource ('Search the moments Real Alpha cut from long interviews') and describes the matching target and ranking ('best match first'). It is clearly a broad keyword search over moments, but it never names or distinguishes its closest siblings ('what_did_they_say', 'latest_moments', 'answers_to'), so an agent must infer the boundary.

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 by the description of filters and relevance ranking (use this when you want to find moments by topic, speaker, company, show, or recency). There is no explicit when-to-use/when-not-to-use guidance and no routing to alternatives such as 'what_did_they_say' or 'latest_moments'.

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