get_api
Everything about one API by slug (from search_apis): documentation summary, endpoints, auth, pricing and links. Use before writing integration code.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Everything about one API by slug (from search_apis): documentation summary, endpoints, auth, pricing and links. Use before writing integration code.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations only cover readOnlyHint=true, so the description carries the rest of the burden. It does disclose the response contents (docs, endpoints, auth, pricing, links) and its position in a workflow, which is valuable given there is no output schema; it does not mention payload size, rate limits, or error behavior when a slug is unknown.
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?
Two sentences, no filler. The resource scope is front-loaded and the contents list plus the usage cue fit in a single compact block.
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 correctly compensates by listing the returned payload categories, and the annotations cover the safety profile. It is nearly complete; only edge-case behavior (invalid slug, truncation) is unaddressed.
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 0% – the single 'slug' property has no description at all – so the description must compensate. It does explain the parameter's origin ('from search_apis'), which the schema does not, though it says nothing about slug format or case sensitivity.
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?
Names a specific resource ('one API by slug') and enumerates exactly what it returns (documentation summary, endpoints, auth, pricing, links). The parenthetical '(from search_apis)' distinguishes it from the sibling that produces the plural list, so an agent can tell it apart from search_apis/compare_apis without opening any schema.
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?
'Use before writing integration code' gives a clear situational trigger, and '(from search_apis)' implies the prerequisite that the slug must come from a prior search. No explicit when-not or named alternative, but the use context is unambiguous.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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