Fortytwo MCP
Server Details
Ask high-complexity questions where the best answer is required — coding, hard reasoning, and more.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 2.6/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined as asking Fortytwo Prime and getting a response, making it distinct by default.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'ask_fortytwo_prime' follows a clear verb_noun pattern, and there are no other tools to compare it against for inconsistency.
A single tool is generally too few for most MCP server purposes, as it limits functionality and scope. While it might be appropriate for a very narrow task, it feels thin and underdeveloped compared to typical servers with 3-15 tools.
The tool set is minimal, consisting only of an 'ask' function. For a server named 'Fortytwo MCP', which might imply broader capabilities, there are obvious gaps such as no support for other interactions like querying, updating, or managing data. However, the single tool does cover its stated purpose of asking and getting responses.
Available Tools
1 toolask_fortytwo_primeCInspect
Ask Fortytwo Prime and get a response
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Question or task for the Swarm | |
| max_tokens | No | Maximum number of tokens in the response (512..128000, default 16384) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'get a response' but doesn't describe traits like response format, latency, rate limits, authentication needs, or error handling. For a tool with no annotation coverage, this is a significant gap in transparency.
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 very concise with a single sentence, 'Ask Fortytwo Prime and get a response,' which is front-loaded and wastes no words. However, it may be overly brief, potentially under-specifying the tool's purpose, but it earns high marks for efficiency.
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 annotations, no output schema, and a tool that likely involves complex interactions (e.g., AI responses), the description is incomplete. It doesn't explain what Fortytwo Prime is, the nature of responses, or any behavioral aspects, leaving significant gaps for an agent to understand and use the tool effectively.
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%, so the schema fully documents both parameters (query and max_tokens). The description adds no parameter-specific information beyond what's in the schema, such as examples or usage tips. This meets the baseline of 3 when the schema does the heavy lifting.
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 'Ask Fortytwo Prime and get a response' states the basic action (ask and get response) but is vague about what Fortytwo Prime is or what kind of responses it provides. It doesn't specify the resource or domain (e.g., AI assistant, knowledge base), making it less clear than a more specific verb+resource combination. However, it avoids tautology by not just restating the name.
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 provides no guidance on when to use this tool versus alternatives. With no sibling tools mentioned, it doesn't need to differentiate, but it also lacks context about appropriate use cases, prerequisites, or limitations. This leaves the agent with minimal direction beyond the basic function.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!