RoxyAPI Docs MCP Server (keyless, for coding agents)
Server Details
Keyless docs search so coding agents wire up RoxyAPI: every endpoint, param and SDK call.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.9/5 across 1 of 1 tools scored.
With only a single tool, there is no possibility of confusion between tools. The purpose of search_docs is clearly distinct by default.
With one tool, there is no inconsistency in naming conventions. The name 'search_docs' is clear and follows a verb_noun pattern.
One tool is at the lower boundary for a functional MCP server. While it may be sufficient for a simple documentation search, the server would benefit from additional tools like get_doc or list_categories to improve usability.
The search_docs tool covers the primary need of searching documentation, but lacks supporting tools such as retrieving full documentation details or listing available topics. Users may encounter dead ends when search results point to content not fully accessible via the tool.
Available Tools
1 toolsearch_docsAInspect
Search the RoxyAPI knowledge base and get back ranked documentation snippets, each with a source URL. It covers API endpoints with their request and response fields, SDK usage for TypeScript, Python, PHP, C#, and the WordPress plugin, authentication and API keys, UI components, and step by step integration guides. Call this first whenever you need to integrate RoxyAPI into an app: to find which endpoint or SDK method to use, what parameters a call takes, how to authenticate, or how to wire a feature end to end. Pass the user question verbatim as query. If the first results miss, rephrase once and retry.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max hits to return. Default 10, capped at 25. | |
| query | Yes | User question or keywords. Free text. The whole question works better than guessed keywords. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It accurately describes a read-only search behavior (no mention of destructive actions) and sets expectations about retrying if results miss. The description is honest and complete regarding the tool's effects.
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 concise yet informative: first sentence states function, second covers scope, third gives usage directive, fourth offers best practices. Every sentence serves a purpose with no 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?
Given no output schema, the description adequately explains what the tool returns (ranked snippets with source URLs) and covers common use cases. It provides enough context for an AI agent to understand the tool's role and limitations, making it complete for a search tool.
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%, providing baseline 3. The description adds value beyond schema by instructing to pass user question verbatim and noting that full questions work better than keywords, which aids proper usage. For the limit parameter, it adds no additional meaning over schema, but the overall param guidance is solid.
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 that the tool searches the RoxyAPI knowledge base and returns ranked documentation snippets with source URLs. It specifies the content covered (API endpoints, SDK usage, authentication, etc.) and distinctively calls out that it should be used first for integration tasks, even without sibling tools to differentiate from.
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?
Explicitly tells when to use ('Call this first whenever you need to integrate RoxyAPI into an app'), provides specific use cases, instructs to pass the user question verbatim, and advises to rephrase and retry if initial results are insufficient. This is comprehensive guidance.
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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