GF Agent Toll service catalog
gf.list_servicesList schemas, prices, identity, robot-priority policy and discovery URLs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
gf.list_servicesList schemas, prices, identity, robot-priority policy and discovery URLs.
| 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 the burden of behavioral disclosure. The verb 'List' implies a read-only operation, and the description enumerates the content categories returned. However, it does not disclose response format, pagination, authentication needs, or any other operational traits.
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, tightly worded sentence that front-loads the action and names all content areas without extraneous words. Every word earns its place.
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 read-only catalog tool, the description is largely complete: it names the five content areas returned. The absence of an output schema is mitigated by this enumeration, though terms like 'identity' remain somewhat ambiguous.
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 input schema declares zero parameters, so there are no parameter semantics to explain. The description correctly focuses on what the tool returns rather than inputs, matching the baseline for a parameterless tool.
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 uses a specific verb, 'List', and identifies the resource as a service catalog containing schemas, prices, identity, robot-priority policy, and discovery URLs. It is clear, but it does not explicitly distinguish itself from sibling tools like search_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 such as search_capabilities or provider_health. There are no exclusions, prerequisites, or conditions stated.
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.
Several tools overlap in purpose, particularly among the GCC analysis services (free_profit_check, gcc_opportunity_score, gcc_product_decision) and the status reporting tools (agent_commerce_status, payment_status, settlement_status, universal_status). While descriptions clarify differences, an agent may struggle to choose between these related services without careful reading.
All tools use the 'gf.' prefix and snake_case, providing a consistent base. However, the pattern mixes noun_phrases (agent_budget, payment_status) with verb-based names (execute, quote) and adjective_noun combinations (free_profit_check), making the naming somewhat inconsistent in style though still readable.
At 18 tools, the count is slightly above the typical 15-tool sweet spot but remains reasonable for a comprehensive commerce gateway server that covers discovery, quoting, payment, status, and analytics. The scope justifies the number without feeling bloated.
The tool surface covers the main lifecycle: discovering capabilities, obtaining quotes, executing transactions, checking payment and settlement status, monitoring provider health, and reviewing metrics. Minor gaps exist (no explicit refund/cancel or merchant account creation), but these are not critical to the core workflows.