check_api_health
Maps to GET /health. Returns service availability. Use to confirm the API is responsive before attempting operations.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Maps to GET /health. Returns service availability. Use to confirm the API is responsive before attempting operations.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It discloses the endpoint mapping and that it returns service availability, which is sufficient for a simple health check. It does not elaborate on response structure or potential failure modes, but the low complexity limits the need.
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?
Three short, focused sentences. Front-loaded with the endpoint, then the return value, and finally usage guidance. No 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?
Given the tool's simplicity (no parameters, no output schema), the description is fully adequate. It states what the tool does, how to use it, and when to call it. The context is complete for an agent to select and invoke it correctly.
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 description need not add parameter details. Baseline for no parameters is 4. The description's mention of the health endpoint complements the schema's emptiness.
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 clearly states the tool maps to GET /health and returns service availability, which is a specific verb and resource. It is easily distinguished from sibling tools that handle DeFi operations like quotes and LP positions.
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?
Explicitly states 'Use to confirm the API is responsive before attempting operations,' giving clear when-to-use guidance and implying it should precede other operations. No alternatives are needed.
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.
Each tool has a clearly distinct purpose: health check, setup guide, chain/dex list, pool discovery, pool analysis, swap quoting (with per-use-case variant), LP position listing, and single-transaction LP entry/exit. No significant overlap.
All tool names follow a consistent verb_noun pattern in snake_case (analyze_pool, get_swap_quote, list_user_lp_positions, etc.). Even 'zap_into_lp_position' and 'zap_out_of_lp_position' maintain the pattern with verbs 'zap_into' and 'zap_out_of'.
11 tools is well-scoped for a DeFi liquidity management server covering health, discovery, quoting, and LP operations. Each tool earns its place without redundancy.
Covers core workflows: pool discovery, analysis, swap quotes, LP position management, and single-transaction zap in/out. Missing is a direct token approval tool, but instructions for approvals are embedded in relevant tools. Minor gap but highly functional.