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scry_check

Returns Scry's corpus knowledge for a single IPv4 address: when it was first/last observed, observation count, protocols and ports targeted, ASN, country, category (actor/scanner/not_observed), and confidence_bucket (low/medium/high).

Use when an agent needs IP triage, hostility assessment, or risk signaling. Do NOT use for raw payloads (never exposed) or IPv6 (corpus is v4-only at v0.1).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ipYesIPv4 address (e.g. '8.8.8.8')

TDQS

A4.6/5.0
Behavior5/5

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

No annotations provided, but description fully discloses returned fields, constraints (IPv4-only, no raw payloads), and behaviors (first/last observed, count, etc.), exceeding requirements.

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?

Two paragraphs: first lists outputs, second gives usage. No fluff, but could be slightly more structured. Still efficient and front-loaded.

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 single parameter and no output schema, description covers all necessary context: what is returned, what is not, constraints, and usage boundaries. Complete for the tool's purpose.

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% with clear description of 'ip' parameter in schema. The description reinforces the purpose but does not add significant new meaning 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?

The description clearly states the tool returns corpus knowledge for a single IPv4 address, listing specific attributes. It distinguishes from siblings by implying it's for one IP, while siblings like scry_check_bulk are for bulk operations.

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 states when to use (IP triage, hostility assessment, risk signaling) and when not to use (raw payloads, IPv6), providing clear guidance.

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
Disambiguation5/5

Each tool targets a unique resource or operation: single IP lookup, bulk IP lookup, ASN roll-up, country roll-up, campaign detail, campaign list, recent observations, stats, timeseries, tool detail, tool list, and top sources. There is no overlap or ambiguity, and descriptions explicitly state when each tool should or should not be used.

Naming Consistency5/5

All tool names follow the consistent pattern 'scry_' plus a descriptive noun (e.g., scry_asn, scry_check, scry_timeseries). The naming is uniform, lowercase with underscores, and logically reflects the tool's purpose.

Tool Count5/5

With 12 tools, the set is well-scoped for a threat intelligence server. It provides sufficient granularity without being overly large or sparse, covering core functionality without redundancy.

Completeness5/5

The tool surface covers key operations for IP triage, campaign analysis, statistical overviews, time-series trends, and tool detection. There are no obvious gaps; all common use cases for network observation and threat intelligence are addressed.