onboard_agent_setupReturns the complete autonomous agent setup guide for deploying Payram without any web UI or human interaction.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | ||
| markdown | Yes | ||
| description | No |
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. It states that the tool 'Returns' a guide, implying a read-only, non-mutating operation. It adds context about the autonomous nature and lack of web UI, which clarifies expectations. However, it does not go into further depth about potential side effects or required auth, but for a simple retrieval tool this is sufficient.
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, well-structured sentence. It front-loads the core action ('Returns the complete autonomous agent setup guide') and adds a crucial qualifier ('without any web UI or human interaction') without any wasted words.
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?
The description is complete for a tool with zero parameters and an output schema. It fully explains the tool's purpose and the specific context. Since the output schema handles return value details, the description doesn't need to over-specify. No gaps are apparent.
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 is empty with no parameters, and the description correctly doesn't attempt to explain parameters. The schema description coverage is 100%, and with 0 parameters the baseline is 4, which fits perfectly.
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 'Returns' and clearly identifies the resource: 'the complete autonomous agent setup guide for deploying Payram without any web UI or human interaction.' It distinguishes itself from siblings like get_agent_setup_flow by emphasizing 'complete autonomous' and the specific deployment context.
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?
The description gives clear context on when to use the tool: when deploying Payram without a web UI or human interaction. However, it does not explicitly mention alternatives or exclusions, leaving room for confusion with similar sibling tools like get_agent_setup_flow.
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.
Many tools have distinct targets, but there is notable overlap in diagnostics (check_node_sync, check_payment_readiness, payram_doctor, test_payram_connection) and a large cluster of snippet generators for different languages that could be confused. The descriptions help, but several tools appear to serve the same underlying purpose.
Snake_case is used consistently, but verb prefixes vary unpredictably: check_, generate_, get_, list_, lookup_, search_, snippet_, test_, restart_, etc. Similar actions use different verbs (lookup_payment vs search_payments vs get_payment_summary; generate_payment_route_snippet vs snippet_express_payment_route), making the naming pattern less predictable.
With 52 tools, the set is significantly over-scoped for a developer assistance server. Many tools could be consolidated (e.g., a single snippet generator with language parameters, or unified health diagnostics), and the count introduces unnecessary complexity for agents.
The surface covers payments (create, lookup, search, summary), diagnostics, docs, and many integration snippets, but lacks direct payout creation (only snippet generators), no refund or wallet creation. These are notable gaps for a payments platform server, though the snippet tools and diagnostics mitigate some dead ends.