census_verdict_query
Explains the paid verdict-query path; paid verdicts are refused over MCP and deliver over x402 on GET /verdict/.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Explains the paid verdict-query path; paid verdicts are refused over MCP and deliver over x402 on GET /verdict/.
| 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 and does disclose a genuinely important behavioral constraint: paid verdicts are refused over MCP and delivered instead over x402 on GET /verdict/<backend>. That is the key thing an agent needs to know before calling anything verdict-related. It stops short of describing what the explanation response actually contains.
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 dense sentence with the routing fact front-loaded and no filler. It is efficient, though the compressed phrasing (x402, GET /verdict/<backend>) borders on terse without further context.
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, no-output-schema informational tool, the description gives the essential routing fact but not the shape of what is returned by calling it — whether it returns the explanation text, a URL, or a capability statement. Adequate but with a clear gap.
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 takes zero parameters (empty object schema, 100% coverage), so per the rubric the baseline is 4. There is nothing for the description to disambiguate.
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?
States a specific verb ("Explains") and a specific resource ("the paid verdict-query path"), so an agent can tell this is an informational/routing tool rather than a query executor. It is distinguishable from siblings like census_pricing and census_run, though the name census_verdict_query slightly implies querying rather than explaining.
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 implies when this is relevant (paid verdicts cannot be obtained over MCP, so this tool tells you how they are actually obtained), but it never explicitly says "use this when you need X" or names a sibling as the alternative path. Usage is inferable rather than stated.
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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