APIHub

apihub_get_service

Get full details for a specific API service including all endpoints, schemas, and pricing.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "service_slug": "<service_slug>"
    },
    "name": "apihub_get_service"
  }
}

Input Schema

Name	Required	Description	Default
`service_slug`	Yes	The service slug (e.g., 'exchange-rates')

Schema Changelog

Changes observed during successful MCP inspections.

First observedApr 24, 2026

TDQS

A3.8/5.0

Behavior3/5

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

No annotations are provided, so the description carries the transparency burden. It states what the tool returns (endpoints, schemas, pricing), which adds useful behavioral context. However, it does not disclose potential side effects, authentication requirements, rate limits, or error conditions. Since this is a read operation, the omission of side effects might be acceptable, but the description could be richer.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that front-loads the verb and object. It lists three concrete content categories without wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one parameter, no output schema), the description sufficiently informs the agent of the return content and the need for a specific service. It could mention that the service_slug must be a valid slug, but that is implied by the schema. Overall, it is complete for a getter tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%: the only parameter service_slug has a description with an example. The description does not add any additional meaning beyond the schema, so it meets the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get' and the resource 'full details for a specific API service', specifically listing endpoints, schemas, and pricing. This distinguishes it from siblings like apihub_list_services, which would list services rather than retrieve a single service.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage: you call this tool when you need full details for a particular API service. However, it does not explicitly mention alternatives or when not to use it (e.g., 'use apihub_list_services to browse services'). The context is clear but exclusions are absent.

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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