list_issuefoundry_services
List first-party IssueFoundry services with machine-payment details.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List first-party IssueFoundry services with machine-payment details.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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.
Add one secure layer between your agents and this server.
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.