IssueFoundry Agent Market
Server Details
Discover agent services and buy IssueFoundry's fractional-cent x402 reliability utilities.
- 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 3.2/5 across 2 of 2 tools scored.
The two tools focus on different aspects: listing IssueFoundry services and searching agent services. No overlap in purpose.
Both tools follow a consistent verb_noun pattern using snake_case: list_issuefoundry_services and search_agent_services.
With only 2 tools, the server feels thin for a 'market' concept, but it is not extreme. It is borderline acceptable.
The server only supports listing and searching, missing critical operations like creating, updating, or deleting services. Significant gaps for a market domain.
Available Tools
2 toolslist_issuefoundry_servicesAInspect
List first-party IssueFoundry services with machine-payment details.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral transparency. It only states that the tool 'lists' services, which suggests a read-only operation, but fails to disclose any potential side effects, authentication requirements, rate limits, or pagination behavior. The brevity leaves important behavioral traits unspecified.
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 a single sentence that directly conveys the tool's purpose. It is front-loaded with the key verb 'List' and immediately specifies the resource and additional detail. There is no extraneous content.
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 the tool has no parameters, no output schema, and the description is minimal, it provides just enough to understand the basic purpose. However, for a list operation with a sibling tool, additional context about scope (e.g., whether results are paginated or filtered) and the meaning of 'machine-payment details' would improve completeness.
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?
The tool has no parameters, so schema description coverage is 100% by default. The description adds no parameter information because none is needed. Per guidelines, 0 parameters yields a baseline score of 4.
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 explicitly states 'List first-party IssueFoundry services with machine-payment details,' clearly identifying the verb (list), resource (IssueFoundry services), and distinguishing attribute (machine-payment details). It differentiates from the sibling 'search_agent_services' by focusing on listing first-party services with payment details.
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?
No guidance is provided on when to use this tool versus the sibling 'search_agent_services'. The description implies a specific use case (listing services with payment details) but does not state explicit conditions, prerequisites, or alternatives. This omission makes it harder for an AI agent to choose the correct tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_agent_servicesCInspect
Search x402 services and inspect price, network, endpoint, and provider descriptions.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Capability or service needed |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description does not disclose behavioral traits such as read-only nature, side effects, or required permissions. For a search tool, it should at least hint at whether it is read-only.
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?
One sentence, no fluff. However, it mixes two actions (search and inspect) which could be streamlined. Still efficient.
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 should cover return format or behavior. It mentions inspectable fields but not how results are presented or paginated. Lacks completeness 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% with parameter description 'Capability or service needed'. The tool description adds that search returns price, network, etc., but does not enrich the parameter meaning beyond schema.
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 the tool searches x402 services and specifies what can be inspected (price, network, endpoint, provider descriptions). It distinguishes from sibling list_issuefoundry_services by focusing on search, but could be more concise.
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?
No guidance on when to use this tool versus the sibling 'list_issuefoundry_services'. The description implies search, but provides no exclusion criteria or usage context.
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
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