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Glama

Server Details

Stripe-native marketplace where AI agents discover and pay per call for API services.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
PalabreX/runpay-mcp
GitHub Stars
1
Server Listing
runpay-marketplace

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 DescriptionsC

Average 2.7/5 across 2 of 2 tools scored.

Server CoherenceA
Disambiguation5/5

The two tools have clearly distinct purposes: one lists available services, the other calls a service and processes payment. There is no overlap or ambiguity.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern: list_services and call_service. The naming convention is uniform and predictable.

Tool Count3/5

With only two tools, the server feels minimal for a marketplace and payment service. While it covers basic listing and purchase, more tools (e.g., for service details, cancellations) would be expected.

Completeness2/5

The tool surface has significant gaps: there is no way to view service details beyond listing, no cancellation, no user account management, and no means to handle errors or refunds. Essential lifecycle operations are missing.

Available Tools

2 tools
call_serviceCInspect

Call a service and pay automatically via Stripe per use

ParametersJSON Schema
NameRequiredDescriptionDefault
payloadYes
agent_idYes
service_idYes
Behavior2/5

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

No annotations are provided, so the description bears full responsibility. It discloses automatic payment per use but lacks details on failure handling, response format, or side effects. Critical behavioral traits like what happens if payment fails or if the service is not found are missing.

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

Conciseness3/5

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

The description is a single, front-loaded sentence, which is efficient. However, it sacrifices necessary detail in favor of brevity. For a tool with three parameters and complex behavior, slightly more length would be justified.

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

Completeness2/5

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

Given the tool has three required parameters (one a nested object) and no output schema, the description is insufficiently complete. It does not clarify the payload structure, expected input formats, or any return values, leaving the agent without essential context for correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no meaning to the parameters. It does not explain what 'payload' should contain, the role of 'agent_id', or how 'service_id' is used. With three required parameters, this is a major gap for an agent to correctly invoke the tool.

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 states 'Call a service and pay automatically via Stripe per use,' which clearly indicates the tool's primary action (calling a service) and its key feature (automatic payment). It distinguishes itself from the sibling tool 'list_services' by focusing on execution rather than listing.

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 usage for services requiring payment, but it does not explicitly state when to use this tool versus alternatives like list_services. There is no guidance on prerequisites or scenarios where this tool should not be used.

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

list_servicesCInspect

List all available services for purchase on run.pay marketplace

ParametersJSON Schema
NameRequiredDescriptionDefault
searchNo
categoryNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states 'List all available services' with no mention of authentication, pagination, rate limits, or side effects. This is insufficient for a marketplace listing tool.

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

Conciseness3/5

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

The description is a single sentence, which is concise but lacking any structure. It could be improved by front-loading key info or adding brief parameter details.

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

Completeness2/5

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

Given no output schema and simple parameters, the description fails to mention pagination, sorting, filtering behavior, or return format. For a listing endpoint, this is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the two parameters (search, category). Their purpose is entirely inferred from schema field names, adding no value beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (List) and resource (services) with context (run.pay marketplace). It distinguishes from the sibling tool 'call_service' by indicating this is for browsing/purchase listing, though not explicitly.

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

Usage Guidelines2/5

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 'call_service'. The description does not specify prerequisites or contexts where this tool is appropriate.

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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