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security_inbound_request_screen

Read-only

Inbound request screen (bundle) — One call: ALLOW / CHALLENGE / BLOCK verdict for an inbound HTTP request — fuses source-IP reputation, referer/link safety, and a user-agent bot/scanner heuristic. For WAF, gateway and bot-defense automation. Price: $0.05 USDC (Base, via x402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ipYessource IPv4/IPv6 (required)
uaNouser-agent string (optional)
urlNoreferer or link in the request (optional)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context: it is a one-call bundled screening operation, fuses three data sources, and has a $0.05 USDC cost via x402, which is important for invocation decisions.

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 compact and front-loaded: it states the core action and output in the first sentence, then adds the use case and pricing. Every sentence earns its place with no redundancy or filler.

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

Completeness4/5

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

For a read-only screening tool with three well-documented parameters and no output schema, the description sufficiently explains what the tool does, what inputs matter, and what verdict format to expect. Pricing and target automation contexts are also included, making the tool broadly self-contained.

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?

Schema description coverage is 100%, so the baseline is 3. The description gives high-level context that maps parameters to signals (IP reputation, referer/link safety, user-agent heuristic), but it does not add detailed parameter semantics beyond what the schema already documents.

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 states a specific purpose: produce an ALLOW / CHALLENGE / BLOCK verdict for an inbound HTTP request, and identifies the fused signals (IP reputation, referer/link safety, user-agent heuristic). This clearly distinguishes it from sibling tools like security_bulk_ip_screen or url_safety by framing it as a single-call request screen.

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

Usage Guidelines4/5

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

The description gives clear usage context: 'For WAF, gateway and bot-defense automation.' It does not explicitly name alternatives or when-not-to-use conditions, but the use case is specific enough to guide an agent choosing among siblings.

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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TDQS

A3.6/5.0
Disambiguation2/5

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.

Naming Consistency4/5

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.

Tool Count2/5

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.

Completeness4/5

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.

Resources