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GreyNoise-Intelligence

greynoise-mcp-server

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Session Counts

session-counts
Read-only

Group and count network sessions by one or more fields over a time range, supporting nested drill-down buckets and optional Lucene query filtering.

Instructions

Aggregate session counts grouped by one or more fields over a time range. Multiple fields produce nested (drill-down) buckets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNoBuckets per aggregation level, 1-100 (default: 10)
queryNoLucene query string to filter sessions
scopeNoData scope: workspace (default) or demo
fieldsYesComma-separated fields to aggregate on (e.g. source.ip,destination.port)
end_timeYesEnd time, ISO 8601 (e.g. 2025-01-07T23:59:59Z)
start_timeYesStart time, ISO 8601 (e.g. 2025-01-01T00:00:00Z)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsNo
totalNo
request_metadataNo
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint. Description adds the nested bucketing behavior but does not disclose pagination, result format, or any side effects. Adequate but not rich beyond annotations.

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 concise sentences front-loaded with purpose. No 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?

Given output schema exists, description need not detail return values. Covers core behavior and constraints (time range, fields). Could mention optional filters, but schema covers that. Adequate.

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 covers all parameters with descriptions (100% coverage). Description adds value by explaining that multiple fields produce nested buckets, which is not in schema. Justification for grouping behavior is helpful.

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 it aggregates session counts grouped by fields, with nested bucketing for multiple fields. This distinguishes it from siblings like session-timeseries or search-sessions.

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?

Implies usage for aggregating counts by fields, but lacks explicit when-not-to-use or alternative tool references. Sibling tools exist but are not contrasted.

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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