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scan_services

Probe services to identify databases, caches, remote desktop, SSH, SMTP, and IoT devices. Auto-detect from port numbers or select a specific service.

Instructions

Service-level fingerprinting for databases, caches, remote desktop, SSH, SMTP, and IoT. Supports auto-detection from port numbers or explicit service selection. Probes: MySQL, PostgreSQL, Redis, FTP, VNC/RDP, SSH (with full audit), SMTP (with TLS check), and IoT device detection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostYesTarget host
portsNoSpecific ports to probe
serviceNoService to probe (default: auto-detect from ports, or 'all')
Behavior4/5

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

With no annotations, the description discloses key behaviors: auto-detection, full audit for SSH, TLS check for SMTP. This is valuable beyond the schema.

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?

Two sentences, zero waste. Front-loaded with purpose and service types, followed by detection modes and specific probes. Efficiently structured.

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?

Given no output schema, the description adequately explains what the tool does and its capabilities. It covers purpose, detection modes, and service coverage, making it complete for an agent to decide when to use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions. The description adds context about auto-detection and lists all service enum values, enhancing understanding but not adding new parameter specifics.

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 clearly states it performs service-level fingerprinting for specific services (databases, caches, remote desktop, SSH, SMTP, IoT). It distinguishes from siblings like scan_ports by focusing on fingerprinting rather than just port scanning.

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 implies usage for fingerprinting services, supports auto-detection or explicit selection. It doesn't explicitly state when not to use or name alternatives, but the context from siblings is sufficient.

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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