get_verdict
Verdict lookup is a paid HTTP x402 call (GET /verdict, $0.01); MCP returns the payment instructions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| endpoint | No |
Verdict lookup is a paid HTTP x402 call (GET /verdict, $0.01); MCP returns the payment instructions.
| Name | Required | Description | Default |
|---|---|---|---|
| endpoint | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it discloses the critical surprising behavior: this MCP tool does not return the verdict, it returns payment instructions because the underlying call is a paid x402 endpoint costing $0.01. That's exactly the kind of context an agent needs to avoid misusing the result. It stops short of covering auth, failure modes, or how the returned payment instructions are consumed, which keeps it from a 5.
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?
It is a single dense sentence with the key constraint (paid, MCP returns payment instructions) placed at the end for emphasis. Nothing is wasted, though the run-on parenthetical makes the reader work slightly harder than necessary.
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 one-parameter read-only lookup with no output schema, the description covers the payment mechanism but leaves open what a verdict is, what the payment instructions look like, and how the endpoint parameter participates. The core behavioral surprise is covered; the operational details are not.
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 single parameter 'endpoint' has 0% schema description coverage and the description never mentions it, so the agent has no idea what an 'endpoint' means here (a URL? an ID?) or whether it is required for the payment flow. With only one parameter the stakes are low, but the description adds nothing to the schema.
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?
It names the resource (verdict lookup) and describes the mechanism (paid HTTP x402 call, GET /verdict, $0.01), which is informative. But it never says what a 'verdict' is, and it doesn't differentiate itself from pricing or run_probe, so the agent must guess the domain meaning.
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?
There is no explicit when-to-use or when-not-to-use guidance and no reference to the sibling tools pricing or run_probe. The $0.01 price and 'paid' framing hint that this has a cost, but the agent isn't told whether to call it directly, what the prerequisite is, or where to go instead.
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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