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

With no annotations, the description carries the burden and does disclose a meaningful trait: results come from a curated list and are qualitative, not market data — critical for an agent not to present them as research. It omits other traits such as determinism, ordering, or whether results are ranked, but the core expectation-setting is present.

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 with the core purpose front-loaded and the caveat immediately after. No filler or restatement of the tool name.

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?

For a 3-parameter, read-only ideation tool with no output schema, the description conveys source, matching inputs, and output nature adequately. The unexplained `limit` parameter and lack of any return-shape hint (list size, ordering) are the only gaps.

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 a moderate 67%; the schema itself documents the budget enum thresholds and the interests list. The description only echoes that interests and budget are used for matching and adds nothing about the undocumented `limit` parameter (1-20).

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 ("Suggest online store niches") plus the source constraint ("hand-curated list"). The clause "Qualitative reasoning only, not market data" implicitly separates it from the quantitative sibling calculate_profit, though no sibling is named outright.

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 "matched to the user's interests and starting budget," telling the agent this is the ideation step. However, it never states when to prefer it over generate_store_names or calculate_profit, nor any prerequisites or exclusions.

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