dns_lookup
DNS lookup for a host: A/AAAA records (pure compute). Payment: $0.001 USDC on Base via x402.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| host | Yes | Hostname to resolve (e.g. example.com). |
DNS lookup for a host: A/AAAA records (pure compute). Payment: $0.001 USDC on Base via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| host | Yes | Hostname to resolve (e.g. example.com). |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It explicitly mentions 'pure compute' (implying no side effects) and the payment requirement ($0.001 USDC via x402), which are important behavioral traits. However, it does not describe the return format or error behavior, though the record types are implied.
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 extremely concise: one sentence for purpose and one for payment/behavior. Every word earns its place, and it is front-loaded with the primary action.
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 simple single-parameter tool with no output schema, the description is largely complete: it states the purpose, the payment, and the nature ('pure compute'). It could benefit from mentioning the output format or failure modes, but given the low complexity, it is sufficiently complete.
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 has 100% coverage with a clear description of 'host'. The tool description adds no additional parameter semantics beyond what the schema already provides, so the baseline score of 3 is appropriate.
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 states the tool performs DNS lookups for a host, specifying the resource (host) and the exact record types (A/AAAA). This distinguishes it from the sibling tools, which are all unrelated (crypto, URLs, JSON).
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 implicitly provides clear usage context: use this tool when you need to resolve a hostname to A/AAAA records. It does not explicitly mention when not to use it or alternatives, but the purpose itself is clear enough given the unrelated sibling tools.
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.
Each tool has a clearly distinct purpose: crypto market data, free sample, DNS lookup, URL extraction, JSON repair, and USDC analytics. Even the two crypto tools are differentiated by the free sample variant.
All tool names follow a consistent snake_case pattern with a noun_verb or descriptive style (e.g., crypto_market_pulse, dns_lookup, extract_urls). No mixed conventions.
Six tools is a reasonable count, though the server covers a wide range of utilities from JSON repair to crypto analytics. The count is appropriate but the scope feels slightly scattered.
For a utility server, the coverage is adequate: it provides core functions like JSON repair, DNS lookup, and URL extraction. Minor gaps exist (e.g., no generic text processing), but the stated utilities are well covered.