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Glama

Server Details

Discover agent services and buy IssueFoundry's fractional-cent x402 reliability utilities.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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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

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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.

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Tool DescriptionsB

Average 3.2/5 across 2 of 2 tools scored.

Server CoherenceA
Disambiguation5/5

The two tools focus on different aspects: listing IssueFoundry services and searching agent services. No overlap in purpose.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern using snake_case: list_issuefoundry_services and search_agent_services.

Tool Count3/5

With only 2 tools, the server feels thin for a 'market' concept, but it is not extreme. It is borderline acceptable.

Completeness2/5

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 tools
list_issuefoundry_servicesAInspect

List first-party IssueFoundry services with machine-payment details.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Behavior2/5

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.

Conciseness5/5

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.

Completeness3/5

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.

Parameters4/5

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.

Purpose5/5

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.

Usage Guidelines2/5

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYesCapability or service needed
Behavior2/5

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.

Conciseness4/5

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.

Completeness2/5

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

Given no output schema, the description 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.

Parameters3/5

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.

Purpose4/5

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.

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 '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.

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