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

With no annotations provided, the description carries the full behavioral disclosure burden. It discloses that the tool is 'Free', that the catalog contains pay-per-result tools, that tools are callable through various integrations, and that the caller uses their own Apify account. This is solid context for a read-only catalog listing, though it does not address response format or potential delays.

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 three sentences with no filler. It front-loads the key fact that it is free, immediately states what is returned, then adds usage context and integration details. Every sentence earns its place and the structure is easy to scan.

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 simple tool with one optional parameter and no output schema, the description is largely complete: it explains what is returned, what the catalog includes, when to use it, and cost/integration context. It does not describe the output format or the filtering behavior, but given the low complexity and the schema covering the only parameter, this is a minor gap.

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 the single optional 'task' parameter, and the schema already explains it as an optional filter. The description does not add parameter-level meaning beyond the schema, so the baseline score of 3 is appropriate. It does contextualize the catalog content, but that is not parameter semantics.

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 states a specific verb ('Returns') and resource ('the agentbuilt catalog of pay-per-result data tools'), and specifies what the catalog contains: what each tool does, when to use it, limitations, and cost. This clearly distinguishes it from the sibling audit tools, as it is a catalog/list operation rather than an audit action.

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 explicitly says 'Use this when choosing a tool' and gives concrete example use cases (YouTube transcripts, Substack archives, Shopify/ACP product feeds, AI-assistant visibility). It provides clear context but does not explicitly state when not to use it or mention the sibling tools as alternatives, so it misses the exclusion guidance that would make it a 5.

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