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detection-forge

agentic-detection-lookups

List Available Lookups

detection_list_lookups
Read-onlyIdempotent

Browse available detection datasets and their metadata, including row counts and columns, to identify which lookup files to query for SIEM enrichment.

Instructions

List all available lookup files and their metadata (row counts, columns).

Use this tool to discover what datasets are available before querying.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds that it returns metadata (row counts, columns) beyond the schema, which is useful. No contradictions and adequately transparent for a list tool.

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, front-loaded with the purpose, no filler. Every sentence adds value.

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?

With output schema present, return values are covered. Description provides purpose and usage guidance. Zero parameters make it complete. No gaps.

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?

No parameters exist, so baseline is 4. Description does not need to add parameter meaning, and schema coverage is trivially 100%.

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 'List all available lookup files and their metadata (row counts, columns)', which is a specific verb+resource combination. It distinguishes from siblings like detection_search and detection_lookup_binary by focusing on listing available datasets.

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?

Explicitly says 'Use this tool to discover what datasets are available before querying', providing clear guidance on when to use it. Does not explicitly mention when not to use or alternatives, but the context of siblings and the phrase 'before querying' implies its role.

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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