Provides a direct link or detailed information from the Vonage API reference documentation for a specific API endpoint. Use this when the user's query is highly technical and related to a specific endpoint, like API parameters, request bodies, or response schemas.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The name of the Vonage API (e.g., 'SMS API', 'Voice API', 'Messages API'). |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries full behavioral burden. It discloses that it gives a link or detailed information but does not clarify which, nor does it describe error behavior, response format, or potential limitations. This is a minimal disclosure for a reference lookup tool.
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 two sentences, front-loaded with the core purpose, and immediately follows with usage guidance. Every sentence earns its place with no filler or redundancy.
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 is simple with one well-described parameter, but the output is underspecified ('direct link or detailed information') and no output schema exists. It sufficiently guides when to use it but leaves ambiguity about what the response will look like, making it minimally acceptable.
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% with a clear example-based parameter description, so the description doesn't need to add much. It reinforces that the query targets an endpoint but doesn't provide additional semantic detail beyond the schema. 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?
The description states a clear purpose: providing direct links or detailed info from Vonage API reference documentation for a specific endpoint. It differentiates from general documentation tools by mentioning highly technical endpoint-specific queries, but it does not explicitly name sibling alternatives.
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 explicitly says when to use it: 'Use this when the user's query is highly technical and related to a specific endpoint, like API parameters, request bodies, or response schemas.' It provides clear context but omits when-not-to-use or alternative tool names.
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 well-defined, distinct purpose: API reference for endpoint details, code generator for snippets, docs search for general queries, SDK info for SDK specifics, troubleshooter for errors, tutorial finder for tutorials, and use case examples for real-world applications. Despite some potential overlap between search, tutorials, and use cases, the descriptions clearly delineate when to use each.
All tool names follow the consistent pattern 'vonage_' followed by a descriptive noun or noun phrase (e.g., api_reference, code_generator, docs_search). This makes the tool set predictable and easy to understand.
With 7 tools, the server is well-scoped. Each tool covers a distinct aspect of Vonage documentation (search, reference, code, SDK, troubleshooting, tutorials, use cases), and there are no redundant or unnecessary additions.
The tool set provides broad coverage of the documentation domain: finding docs, looking up API references, generating code, getting SDK info, troubleshooting, locating tutorials, and exploring use cases. There are no obvious gaps that would hamper common documentation tasks.
