pricing_info
Return pricing details for the GoCreative Agent API — base price per call, premium endpoints, cache TTLs, and supported payment networks. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Return pricing details for the GoCreative Agent API — base price per call, premium endpoints, cache TTLs, and supported payment networks. Free.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must convey behavioral traits. It states the tool is 'Free', which may imply no cost. However, it does not explicitly state side effects, rate limits, or that it is a read-only operation. For a simple info tool, this is adequate but not exceptional.
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, well-structured sentence that front-loads the purpose ('Return pricing details'), followed by a list of included items, ending with 'Free'. No unnecessary words.
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 tool has no output schema, so the description is the only source for return value structure. It lists categories of information but does not specify the format (e.g., JSON object fields, data types). For a simple pricing endpoint, this may be sufficient, but additional structure would improve completeness.
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 input schema has zero parameters with 100% schema description coverage. The description adds meaning by detailing the return content (base price per call, premium endpoints, cache TTLs, supported payment networks), which is the sole documentation for the tool's output.
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 returns pricing details for the API, listing specific items (base price per call, premium endpoints, cache TTLs, supported payment networks). It is distinct from sibling tools like install_snippets or list_endpoints.
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?
No explicit guidance on when to use or when not to use this tool versus alternatives. The description implies it is for retrieving pricing info, but does not mention 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.
Add one secure layer between your agents and this server.
Most tools are clearly distinct, but list_endpoints and pricing_info both expose endpoint and pricing details, which could cause an agent to call the wrong one. install_snippets, usage_stats, and wallet_helper have separate, well-defined purposes.
All names use lowercase snake_case, but the style is mixed: install_snippets and list_endpoints follow verb_noun, while pricing_info, usage_stats, and wallet_helper are noun-based. The naming is readable but not uniform.
Five tools is a reasonable, compact set for an onboarding and payment-helper server. However, for a server branded as 'Data Enrichment', the count reflects meta-support tooling rather than actual enrichment capabilities.
The set covers installation, endpoint discovery, pricing, usage stats, and wallet setup, but it includes no actual data-enrichment operations. Given the stated purpose, agents cannot perform the primary task through these tools.