IP intelligence report (bundle) — One call: ALLOW/REVIEW/BLOCK connection-risk verdict + 0-100 score for an IP — fuses RDAP ownership/registry, reverse-DNS (PTR), abuse-feed & first-party honeypot threat reputation, and datacenter/residential classification. Price: $0.08 USDC (Base, via x402).
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | IPv4 or IPv6 address to assess |
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?
Annotations already mark it as read-only and non-destructive. The description adds useful behavioral context: the result contains a normalized verdict and score, the underlying intelligence sources, and that the call costs $0.08 USDC via x402. This goes beyond the annotations without contradicting them.
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 dense sentence that front-loads the core outcome and then enumerates the bundled data sources. Every clause carries useful information, including the explicit pricing detail, with no filler or repetition.
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?
With no output schema present, the description does the necessary work of explaining what the agent will get: a verdict, a numeric score, and a fused source set. It could add more about output format or interpretation of the score direction, but for a single-parameter read-only tool it is largely 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 fully documents the single 'ip' parameter as 'IPv4 or IPv6 address to assess', and the description only repeats that it applies to an IP. Since schema coverage is 100%, the description is not required to add much, and it does not meaningfully extend the parameter explanation.
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 names a specific resource (IP) and a specific deliverable (ALLOW/REVIEW/BLOCK verdict + 0-100 score), and distinguishes itself as a 'bundle' that fuses multiple data sources. This clearly separates it from simpler sibling IP tools like ip or threat_ip.
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 'One call' phrasing and the bundled-source framing imply use when a consolidated IP risk verdict is needed. However, it never explicitly says when to choose this over siblings such as security_threat_lookup, threat_ip, or security_bulk_ip_screen, nor does it state any exclusions or fallback conditions.
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.
Many tools are clearly separated by prefix and data source, but several bundled products overlap heavily: vehicle_deal_check vs vehicle_report, realestate_property_report vs realestate_site_risk, finance_company_360 vs finance_health_scan, and domain_due_diligence vs email_domain_check/business_vet. An agent would frequently struggle to pick the correct premium bundle.
Tool names overwhelmingly follow a consistent snake_case category-prefix pattern like weather_, crypto_, vehicle_, finance_, and geo_. Minor deviations such as bare names (domain, ip) and noun-verb forms (dns_lookup, url_check) are easy to learn and don't create real confusion.
50 tools is far beyond the typical well-scoped 3–15 range and will require heavy filtering to navigate. The broad multi-domain data marketplace partially justifies the size, but it would be more coherent split into per-domain servers or consolidated further.
For a read-only data/diligence marketplace, the surface is quite comprehensive: weather, vehicle, crypto, SEC/finance, domain/email, sanctions, and geo workflows all have core operations plus fused verdict bundles. Minor gaps exist—such as a simple crypto price lookup or vehicle market value—but agents can usually work around them.