apihub_get_service
Get full details for a specific API service including all endpoints, schemas, and pricing.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| service_slug | Yes | The service slug (e.g., 'exchange-rates') |
Get full details for a specific API service including all endpoints, schemas, and pricing.
| Name | Required | Description | Default |
|---|---|---|---|
| service_slug | Yes | The service slug (e.g., 'exchange-rates') |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It describes a read operation ('Get full details') but does not discuss side effects, authorization, rate limits, or return format. The mention of endpoints, schemas, and pricing gives some insight, but more context on behavior would be beneficial.
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, front-loaded sentence that conveys the tool's purpose without wasted words. Every part of the sentence adds value, and it is easy to parse quickly.
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 retrieval tool with one parameter and no output schema, the description is fairly complete. It specifies the type of details returned (endpoints, schemas, pricing). However, additional specifics about the return structure or potential pagination could improve completeness, though not strictly necessary.
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 description coverage is 100% (the parameter 'service_slug' has a description with an example). The tool description adds context about what the tool returns (endpoints, schemas, pricing) but does not provide additional meaning about the parameter itself. With high coverage, baseline 3 is appropriate.
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 verb 'Get', the resource 'specific API service', and the scope 'full details including all endpoints, schemas, and pricing'. It distinguishes from sibling tools like apihub_list_services, which lists services rather than getting details.
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 implies that this tool is for retrieving full details of a specific service, but it does not explicitly state when to use it versus alternatives like apihub_list_services or apihub_call. No when-not-to-use guidance or prerequisites are provided.
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 has a clearly distinct purpose: balance checking, service discovery (list/search/get), paid calls (internal/external), content reading, and credit top-up. Overlaps like list_services vs. search are clearly differentiated by how they are used (browse vs. filter).
All tools follow a consistent `apihub_verb_noun` pattern in snake_case. Verbs like get, list, search, call, topup are paired with appropriate nouns, and modifiers like 'external' are used uniformly.
With 9 tools, the server is well-scoped for its purpose as an API marketplace. Each tool covers a necessary part of the workflow—discovery, payment, invocation—without unnecessary duplication or missing essentials.
The tool set provides a complete lifecycle: service discovery (list, search, get), credit management (balance, topup), and API invocation (call, call_external, read_content). No obvious gaps for the intended use case.