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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds the two-source scope and the returned field set, but says nothing about ordering, pagination, or how 'recent' is determined.

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, with the purpose and scope front-loaded before the return-field enumeration. Every clause earns its place.

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 usefully enumerates the returned fields (analysis_id, date, platform, market, product, score/score range, depth, report link), which compensates well. Minor gaps remain around ordering and default result window ('recent').

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%: the single 'limit' parameter is documented with a range and default, so the schema carries the meaning. The description adds no semantics beyond what the schema says, which is the correct baseline here.

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 ('List recent analyses') plus the account scope and both data sources (AI assistants and quelta.ai website). It implicitly separates itself from get_analysis (single) and analyze_video_ad (create), though it never names a sibling explicitly.

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 scope 'recent analyses in the user's Quelta account', but there is no explicit when-to-use vs alternatives guidance and no exclusions, e.g. no pointer to get_analysis for a single result or to search/filter behavior.

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