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check_root_server_set

Read-onlyIdempotent

Validate the DNS root server set against official root hints, glue, delegation, serial, and DNSKEY evidence to detect anomalies and ensure authenticity.

Instructions

Check the DNS root server set against official root hints, root glue, delegation, serial, and DNSKEY cross-root evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoOutput verbosity. Auto-detected if omitted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
scoreYes
passedYes
partialNo
categoryYes
findingsYes
checkStatusNo
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds specific context about what evidence is checked (root hints, glue, delegation, serial, DNSKEY cross-root). However, it does not describe output format, failure behaviors, or any further implications. With annotations covering safety, the description adds modest value but not extensive behavioral transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that conveys the core purpose without verbose or redundant language. Every word adds value, and it is front-loaded with the action and subject.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity (1 optional parameter, full schema coverage, output schema present, and read-only annotations), the description covers the main function. However, it lacks usage guidance and does not elaborate on the evidence types beyond listing them, which might leave some ambiguity about how 'cross-root evidence' is interpreted. Since the output schema exists and annotations cover side effects, this is adequate but not exceptional.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 100% description coverage for the single parameter 'format', including an enum and description 'Output verbosity. Auto-detected if omitted.' The tool description does not mention this parameter, so it adds no additional meaning beyond the schema. Baseline 3 is appropriate since the schema fully documents the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool 'Check the DNS root server set against official root hints, root glue, delegation, serial, and DNSKEY cross-root evidence.' It uses a specific verb (Check) and resource (DNS root server set) and specifies exactly what it validates against. This distinguishes it from sibling tools like check_ns, check_dnssec, etc., which focus on different DNS aspects.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any prerequisites, context, or contrast with sibling tools. For example, it doesn't say 'Use this when verifying root server consistency' or 'For other DNS checks, see check_ns.' The agent is left to infer usage entirely from the purpose statement.

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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