service_discovery
Search and discover API services on the minia2a marketplace. Returns service name, price, category.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | No |
Search and discover API services on the minia2a marketplace. Returns service name, price, category.
| Name | Required | Description | Default |
|---|---|---|---|
| query | No |
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. It does state that results include service name, price, and category, which is useful, but it does not clarify behavior when query is omitted, pagination/limits, or response format. This is adequate but incomplete.
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?
Two short sentences with no filler. The action and resource are front-loaded, and the return fields add meaningful information without redundancy.
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 tool with one optional string parameter and no output schema, the description provides the basic purpose and return fields but omits query semantics and output structure. It is enough for rough selection, but an agent may not know how to invoke it correctly in edge cases.
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?
Schema description coverage is 0%, so the description must explain the query parameter, but it only implies that searching happens. It does not explain optionality, accepted formats, wildcard behavior, or what happens when the query is empty, leaving the agent to guess at valid invocation.
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 ('Search and discover') and identifies a clear resource ('API services on the minia2a marketplace'), then lists return fields. It is unambiguous about what the tool does, though it does not explicitly differentiate itself from sibling search tools such as x402-search or x402-service-detect.
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 offers no guidance on when to use this tool versus alternatives, and no exclusions or prerequisites. Given the large sibling list of search and discovery tools, the agent must infer usage context entirely from the generic wording.
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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