Skip to main content
Glama
sphilius

dxt-openrouter-router

by sphilius

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation5/5

    There is only one tool, so there is no possibility of ambiguity or overlap with other tools. The purpose of routeLLM is clearly defined and distinct.

    Naming Consistency3/5

    With only a single tool, there is no pattern to evaluate for consistency. The name routeLLM uses a camelCase convention mixing a verb and a domain noun, which is readable though generic.

    Tool Count2/5

    A single tool feels thin for a server named 'openrouter-router.' The router domain likely requires at least companion operations (e.g., send, list presets, get budget) to be practically useful on its own, so one tool is under-scoped.

    Completeness2/5

    The tool only builds a request body and explicitly does not send the request. For routing purposes, there is a notable dead end—no send capability, no way to list/manage presets, and no health or configuration operations. The surface is significantly incomplete for the stated routing purpose.

  • Average 4.2/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 2 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior4/5

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

    With no annotations provided, the description carries the full burden and communicates key behavior well: it explicitly states Zero Data Retention default, the energy-based provider suffix logic, and the crucial fact that it does NOT send the request. The one gap is not disclosing auth requirements (API keys) or error behavior for unknown presets, but the provided behavioral context is strong.

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

    Conciseness4/5

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

    The description is compact (three sentences) and front-loaded with the core purpose in the first sentence. Each sentence earns its place: purpose, energy logic, data retention, and the explicit non-sending behavior. It loses the top score only because it crams several distinct facts (energy mapping, retention, non-sending) into a somewhat dense structure, but there's no waste or redundancy.

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

    Completeness5/5

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

    Given 5 parameters with 100% schema coverage, a nested object field, and no output schema, the description is appropriately complete. It adds the non-obvious details the schema can't convey: the energy→suffix mapping, the Zero Data Retention default, the overrides merge priority, and the crucial non-sending behavior. There is no output schema, but the description explicitly states what it returns (URL, headers, body), compensating well.

    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%, so the schema already documents every parameter, including the energy enum values with direct mapping to suffix behavior. The description adds context about energy mapping (floor/nitro/base) and overrides merging semantics ("merged in last") which aligns with and enriches the schema. The description reinforces rather than extends, which is appropriate given full coverage. Baseline 3 is correct.

    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 uses a specific verb ("Build a ready-to-send OpenRouter chat-completion request body") with a clear resource (named preset + energy budget). It distinctly states what it does NOT do (sends the request), which is an excellent positive and negative definition. Despite no siblings being provided, the purpose is unambiguous and self-contained.

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

    Usage Guidelines4/5

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

    The description clearly narrates the energy-preset selection logic (low→:floor, high→:nitro, balanced→base slug), telling the agent when to use which energy value. It doesn't explicitly name alternatives or exclusions, since no sibling tools exist to differentiate against. The guidance is strong on the core decision, slightly lighter on external context.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

dxt-openrouter-router MCP server

Copy to your README.md:

Score Badge

dxt-openrouter-router MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sphilius/dxt-openrouter-router'

If you have feedback or need assistance with the MCP directory API, please join our Discord server