get_verdict
Latest vault verdict for an endpoint ($0.01/call; one free trial query per operator)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Latest vault verdict for an endpoint ($0.01/call; one free trial query per operator)
| 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, the description carries the full behavioral burden. It does disclose genuinely useful traits absent from structured data: per-call cost and a one-free-trial-per-operator limit. However, it says nothing about authentication, freshness/latency of the 'latest' verdict, or error behavior.
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?
A single short sentence with the resource first and the cost caveat parenthetically attached; nothing is padded or redundant.
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 with no output schema the description is nearly sufficient, but it never explains what a 'verdict' payload contains or how the endpoint is scoped, and it offers no routing relative to the four sibling tools.
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 schema declares zero parameters (baseline 4), but the description refers to 'an endpoint' as if it were an input, implying a selector that the schema does not expose. This mismatch leaves the agent unsure how the target endpoint is identified, so the description adds ambiguity rather than meaning.
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 states a specific verb and resource ('latest vault verdict for an endpoint'), which is more than a tautology, but 'verdict' and 'vault' are undefined jargon and the sibling relationship to probe_endpoint or successor_check is never clarified. An agent cannot confidently tell what a verdict is or how this differs from the other lookup tools.
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 only contextual information is pricing ('$0.01/call; one free trial query per operator'), which hints at cost sensitivity but gives no when-to-use or when-not-to-use guidance. Nothing says when to call get_verdict versus probe_endpoint or successor_check.
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.