x402-ecosystem-health
Ecosystem Health: Live ecosystem metrics. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Ecosystem Health: Live ecosystem metrics. 🆓 5 free trial calls per signed wallet
| 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 provided, the description carries the full burden of behavioral disclosure. 'Live ecosystem metrics' conveys a read-only, real-time data fetch, and the free-trial note discloses an auth/cost constraint involving signed wallets. It does not describe the response shape, whether a signed wallet is required for all calls, or any rate limits beyond the five free trial calls.
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 definition is very short and front-loads the core purpose ('live ecosystem metrics') before adding one valuable constraint about free trial calls. There is no filler or unnecessary repetition, so every part contributes useful information.
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 tool, this is reasonably complete: an agent knows the purpose, that the data is live, and that a signed wallet enables free trial calls. However, with no output schema and no description of the actual metrics or return fields, the agent gets only a partial picture of what to expect after invoking the tool.
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 an empty object with 0 parameters, so there are no parameter semantics for the description to clarify; the baseline for zero-parameter tools is 4. The description correctly implies no arguments are needed to retrieve the metrics.
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 identifies the resource 'Ecosystem Health' and states it provides live ecosystem metrics, so an agent can infer this is a read-only status/metrics tool. It lacks an explicit verb and does not distinguish it from sibling monitoring tools like get_stats or rpc-health, stopping short of a fully discriminating definition.
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 phrase 'Live ecosystem metrics' implies the tool is for checking current ecosystem status, and the trial-call note adds a usage condition around signed wallets and free limits. However, it never explicitly states when to use this over alternatives or when not to use it, leaving selection largely to inference.
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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