gf.list_services
gf.list_servicesList GF Agent Toll services, prices, schemas and discovery endpoints.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
gf.list_servicesList GF Agent Toll services, prices, schemas and discovery endpoints.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It states the tool lists services, prices, schemas, and discovery endpoints, but does not disclose whether this is a read-only operation, whether it requires authentication, whether it hits a live network endpoint, or what the response format looks like. The typo 'Toll' also introduces ambiguity about the resource.
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 short sentence that is easy to parse and front-loads the main action. It earns its place, though the typo 'Toll' slightly detracts from clarity.
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?
For a zero-parameter list tool, the description is mostly adequate: it names the resource and the categories of data returned. However, it lacks any mention of output format, pagination, or whether the list is exhaustive, and the typo undermines confidence. Given the large sibling set, a bit more context about what makes this list distinct 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 zero parameters, so the schema is trivially complete. The description adds context about what the returned data includes (prices, schemas, discovery endpoints), which is useful even though there is nothing to configure. Baseline 4 for zero-parameter tools is appropriate.
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 states a clear verb ('List') and resource ('GF Agent Toll services'), and mentions the kind of data returned (prices, schemas, discovery endpoints). However, 'Toll' appears to be a typo for 'Tool', and the description does not distinguish this from sibling tools like gf.search_capabilities or gf.quote, which could also involve listing services or capabilities.
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 alternatives. The sibling list includes several tools that might overlap (e.g., gf.search_capabilities, gf.quote, gf.provider_health), but the description does not mention any of them or specify conditions for choosing this tool.
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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