Skip to main content
Glama

phishing_check

Read-onlyIdempotent

Check a URL and its host against URLhaus to determine if it is actively malicious or stale, assessing phishing risk with threat level.

Instructions

Query URLhaus for a specific URL and its host. is_malicious is True only when there is ACTIVE evidence — exact URL match with url_status='online' (or unknown) OR host has urls_online > 0. URLhaus retains historical records forever, so a host can have url_count > 0 with urls_online == 0; in that case is_malicious=False, is_stale=True, threat_level='low'. Use for URL-level threat assessment; use threat_intel for domain-level checks. Companion threat-investigation tools: ioc_lookup (multi-source IOC: ThreatFox + URLhaus + Feodo Tracker, auto-detect type), hash_lookup (file-hash malware family, MalwareBazaar), threat_intel (domain-level URLhaus only). Free: 30/hr, Pro: 500/hr. Returns {url, host, is_malicious, is_stale, urlhaus_host:{found,urls_online,url_count}, urlhaus_url:{found,threat,tags,status}, threat_level, summary}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull URL to check, including protocol (e.g. 'https://suspicious-login.com/verify', 'http://evil.com/payload.exe')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Annotations already indicate read-only, non-destructive, idempotent. Description adds critical behavioral details: is_malicious logic, historical records, stale state, and the exact condition for is_malicious=True/False. No contradiction with annotations.

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

Conciseness4/5

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

Description is relatively long but well-structured: starts with main action, then logic explanation, use cases, companion tools, rate limits, and output. Every sentence serves a purpose; minimal redundancy. Could be slightly more concise, but still effective.

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

Completeness5/5

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

Description covers all necessary context: detailed logic for is_malicious/stale, companion tools, rate limits, and a structured output summary. Output schema is partially specified, aiding the agent. Given tool complexity and sibling set, it is fully complete.

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 coverage is 100% for the single parameter 'url', with a full description including format examples. Description does not add extra parameter guidance beyond what schema provides, so baseline 3 is appropriate.

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?

Description clearly states 'Query URLhaus for a specific URL and its host.' and distinguishes from sibling tools like threat_intel and mentions companion tools, making the purpose unambiguous and well-differentiated.

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

Usage Guidelines5/5

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

Explicitly tells when to use (URL-level threat assessment) and when not (domain-level → threat_intel). Also provides rate limits (Free 30/hr, Pro 500/hr), giving clear context for invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/UPinar/contrastapi'

If you have feedback or need assistance with the MCP directory API, please join our Discord server