pricing_infoFree — list every paid tool in the 'apify-market-intelligence' bundle with its price, payTo address and network. Call this first if you don't have a wallet ready yet.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, open-world false, and non-destructive hints. The description adds context by mentioning the tool is free, lists specific return fields (price, payTo address, network), and implicitly clarifies it provides pricing info without side effects. This goes beyond annotation basics, though it doesn't detail response format or edge cases, explaining the 4 rather than 5.
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 a single, compact sentence that packs essential information: free, scope (all paid tools), response fields, and when to call. No unnecessary words or redundancy, making it highly efficient.
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 zero-parameter tool with no output schema, the description fully covers what the tool returns (price, payTo, network) and when to use it. The annotations cover safety, and the description fills in the return semantics and usage context, making it complete.
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?
The tool has zero parameters, so the baseline is 4. The description correctly omits parameter details, instead conveying the tool's behavior, which is all that's needed when input schema is empty.
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 clearly states the tool's function: it lists every paid tool in the 'apify-market-intelligence' bundle with price, payTo address, and network. The verb 'list' plus the specific resource and attributes make the purpose explicit and distinguish it from sibling tools focused on ideas, gaps, demand, etc.
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 provides explicit when-to-use guidance: 'Call this first if you don't have a wallet ready yet.' This indicates the tool is a prerequisite and its free nature contrasts with paid sibling tools, effectively helping the agent choose it at the right time.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool addresses a distinct analytical question: idea validation, gap finding, demand direction, expansion planning, pricing benchmark, and bundle pricing info. The descriptions clearly separate these use cases, leaving no ambiguity about when to use which tool.
Five tools follow a consistent 'apify-<descriptive>-<purpose>' hyphenated pattern, providing a clear and predictable family. The exception is 'pricing_info', which uses snake_case and breaks the 'apify-' prefix convention, creating a minor inconsistency.
With 6 tools, the server is well-scoped for its market intelligence purpose. Each tool covers a distinct aspect of market analysis, and the count is substantial enough to be useful without becoming overwhelming.
The tool set covers the core market intelligence workflow: validating, finding gaps, assessing demand, planning expansion, and benchmarking pricing. Missing are more advanced features like competitor profiling or trend forecasting, but the existing tools handle the stated objectives for most practical use cases.