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

Annotations already provide readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false. The description adds valuable context: it uses only the public Store API (no LLM) and explicitly states the cost/payment method ($0.10/call, x402 USDC on base), which helps the agent understand external API calls and potential charges. No contradiction with 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 two sentences, front-loaded with the core purpose, and includes cost/payment details without wasting words. Every sentence adds value.

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?

The description covers the high-level purpose and key constraints (public API, no LLM, cost). However, there is no output schema, and the description does not specify the return format or structure of the 'evidence-backed market gaps' report. For a 7-parameter tool, this leaves some ambiguity about expected outputs and how results are delivered.

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 each parameter (requestId, seedQueries, categories, maxResults, detailLevel, schemaVersion, freshnessMinutes) having its own description in the schema. The tool description adds no additional parameter-level detail, so the baseline score of 3 applies.

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 uses specific verbs ('Compare', 'rank') and clearly identifies the resource ('user-declared niches against the public Apify Store'). It clearly differentiates from sibling tools by focusing on evidence-backed market gaps, which is a distinct objective from idea validation, demand radar, or pricing benchmarks.

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 implies a use case: when you have niche queries and want to find market gaps in the Apify Store. However, it does not explicitly state when to use this tool versus siblings like apify-niche-demand-radar or apify-actor-idea-validator, nor does it provide exclusion criteria.

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