API details
get_apiFull details of one API: pricing (free tier, plans, usage price, notes), SDK packages, MCP server, status, cheaper alternatives.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api | Yes | API slug or name, e.g. tavily, helius, meshy |
get_apiFull details of one API: pricing (free tier, plans, usage price, notes), SDK packages, MCP server, status, cheaper alternatives.
| Name | Required | Description | Default |
|---|---|---|---|
| api | Yes | API slug or name, e.g. tavily, helius, meshy |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish the safety profile (readOnlyHint=true, openWorldHint=false). The description usefully adds the shape of the payload, but says nothing about what happens with an unknown slug, whether lookups are cached, or any rate limits. Adequate but not rich, given annotations carry safety.
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?
A single dense sentence, front-loaded with the resource and immediately followed by the returned field groups. No filler, nothing to trim.
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?
With no output schema, the description carries the burden of indicating return content, and it does so by enumerating the field groups. Minor gaps remain (unknown-slug behavior, whether categories/alternatives are links to other tools), but it is complete enough to call correctly.
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 100%: the single 'api' parameter is fully documented with a slug/name description and examples (tavily, helius, meshy). The description adds no format or matching nuance beyond that, so the baseline 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?
States a clear verb+resource ('Full details of one API') and enumerates the specific content returned (pricing, SDK packages, MCP server, status, alternatives). This implicitly separates it from list/search siblings like find_apis, but no sibling is named explicitly, so it falls short of a 5.
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 only implied: fetch this once you already have an API slug and need deep detail. There is no explicit when-to-use, when-not, or pointer to an alternative (e.g. find_apis for discovery, model_prices for comparison), so the agent must infer the routing.
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.