dns_domain_snapshot
DNS and domain snapshot from supplied public records. Costs $0.15 Base USDC.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
DNS and domain snapshot from supplied public records. Costs $0.15 Base USDC.
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose the $0.15 Base USDC cost, which is a meaningful behavioral detail, but it does not state whether the operation is read-only, whether it makes external network requests, what side effects occur, or what the return behavior is.
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?
The description is a single concise sentence with no filler. The cost disclosure is front-loaded and useful. However, it is so brief that it omits important behavioral and parameter details, so it is not a perfect example of concise completeness.
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?
Given the empty input schema, lack of annotations, and absence of an output schema, the description does not provide enough context for an agent to reliably invoke the tool. Key missing information includes the exact input format, expected output, payment handling, and whether this is a live network lookup or a local computation.
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 input schema provides no property definitions and 0% schema coverage, so the description must compensate. 'From supplied public records' gives a general hint about what the input contains, but it does not specify the expected structure, required fields, or format of those records.
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 clearly identifies the tool as producing a DNS and domain snapshot from supplied public records, so an agent can grasp the core function. It does not explicitly contrast with sibling tools, but the domain-specific resource is distinct enough to avoid obvious confusion.
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 guidance about when to prefer this tool over alternatives or when to avoid it. The phrase 'from supplied public records' hints at the input source, but no use-case context, prerequisites, or exclusions are provided.
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.
Most tools are distinguishable by their input source (HTTPS probe, JSON snapshots, OpenAPI, ABI, CSV, etc.), but several report-style tools overlap in purpose, such as changelog_generator vs. release_dependency_risk and csv_profile vs. data_quality_profile. Descriptions help, but an agent could easily hesitate between similarly named change/health/report tools.
All names are lowercase snake_case and generally follow a <domain>_<artifact> pattern, which is predictable and readable. The suffixes vary considerably -- report, summary, digest, audit, health, profile, generator, validator, risk, radar -- so it is not a strict verb_noun convention, but the style is consistent enough.
25 tools is at the upper edge of the borderline-heavy range. The suite spans web, data, repository, security, and wallet domains, so each tool has a plausible place, but the sheer number makes navigation heavier than a typical cohesive toolset.
The suite provides broad coverage for reporting, validation, and change detection, but there are notable gaps such as generic raw data fetching, a generic diff utility, and obvious transforms beyond CSV-to-JSON. For a broadly scoped utility suite, coverage is partial but not severely incomplete.