A
licenseA
qualityB
maintenanceVerifies factual claims against live sources and returns a verdict, confidence score, and citations for any agent to use before stating uncertain facts.
6
MIT
oathlayer
Server Details
Verify AI outputs against real sources. Returns a trust signal and permanent doc number.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- oathlayer/oathlayer
- GitHub Stars
- 0
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
MCP client
Glama
MCP server
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.
100% free. Your data is private.
Tool Definition Quality
A3.9/5.0
Tool DescriptionsA
Average 3.8/5 across 1 of 1 tools scored.
Server CoherenceA
Disambiguation5/5
With only one tool, there is no possibility of confusion. The tool's purpose is clearly defined and distinct.
Naming Consistency5/5
The tool name 'verify_output' follows a clear verb_noun pattern. Consistency is not an issue with a single tool.
Tool Count4/5
A single tool is appropriate for a specialized verification service, though the scope is very narrow and slightly below typical range.
Completeness3/5
The tool covers the core verification operation but lacks additional features like retrieval or history, which could be considered minor gaps.
Available Tools
1 toolverify_outputAInspect
Submit a question to Oathlayer for verification. Returns whether the answer is approved, unverified, reflects multiple perspectives, is too complex to verify, or needs clarification. Also returns a permanent doc reference number.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| apiKey | Yes | Your Oathlayer API key from your dashboard at oathlayer.com. | |
| question | Yes | The question or statement you want Oathlayer to verify. |
Tool Definition Quality
A3.8/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully convey behavioral traits. It mentions output types but fails to disclose potential side effects, rate limits, error handling, or any destructive actions. The description is adequate but not comprehensive for a tool without annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long, front-loaded with the action and immediate outcome, followed by specific return details. Every sentence adds value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
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 lists possible return statuses and a doc reference number, but lacks details on the output structure (e.g., JSON fields) and error scenarios. It is mostly complete for a simple tool.
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 coverage is 100%, so the baseline is 3. The description does not add meaning beyond the schema; it references the 'question' parameter indirectly but does not elaborate on 'apiKey'. The schema descriptions are already self-explanatory.
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 clearly states the tool submits a question for verification and lists possible return statuses (approved, unverified, etc.) and a permanent doc reference number. It uses a specific verb ('submit') and resource ('question'), distinguishing it from any potential alternative tools, though none are provided.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is used for verifying statements, but provides no explicit guidance on when to use it versus alternatives, when not to use it, or prerequisites beyond the apiKey. With no sibling tools, the absence of such guidance is less critical but still leaves gaps.
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!
Related MCP Servers
Kluster.ai Verify MCPofficial
Alicense-quality-maintenanceEnables fact-checking of AI responses against reliable sources and validation of responses against document content to ensure accuracy and reliability.- AlicenseAqualityAmaintenanceVerifies C2PA Content Credentials for local files or URLs and returns an LLM-ready verdict on trust, AI generation, and provenance.4371Apache 2.0
- Flicense-qualityAmaintenanceVerifiable document intelligence for AI agents. Extract, summarize, claim-check, and notarize PDFs & URLs with cryptographic proofs, cross-document search, and on-chain attestation via Base L2.