Skip to main content
Glama
threadlinqs-cmd

Intel Threadlinqs MCP

Bulk Get Threats

bulk_get_threats
Read-onlyIdempotent

Fetch up to 20 threats by ID in one call, returning summaries with severity, CVEs, and attribution. For full dossiers, use detail='full' (max 3 IDs).

Instructions

Fetch up to 20 threats by ID in one call. Returns LEAN rows by default (identity, severity, attribution, CVEs, targets + counts for MITRE/IOCs/detections/timeline/tags), which is what makes 20 ids actually fit in one response. count is the number of rows actually present in threats[]; unresolvable ids come back in missing. detail="full" returns whole dossiers but is capped at 3 ids per call (a full dossier is ~68 KB) — the overflow is named in deferred_ids, never silently dropped. Drill into any row with get_threat(id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNo"summary" (default, all 20 fit) | "full" (whole dossiers, max 3 ids per call)
threat_idsYesThreat IDs (max 20)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesRows actually present in threats[] — safe to iterate on.
detailNo"summary" | "full" — which row shape threats[] carries.
missingYes
threatsYes
requestedNoHow many ids the caller supplied.
detail_hintNo
deferred_idsNo
deferred_reasonNo
Behavior5/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered; the description adds valuable behavior beyond that: lean vs full row semantics, the reason a full dossier caps at 3 (~68 KB), and the guarantee that overflow is named in `deferred_ids` and 'never silently dropped.' The `missing` behavior for unresolvable IDs is also disclosed.

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?

Three sentences, each earning its place: core capability first, then default-payload detail, then full mode, then cross-reference. No filler or repeated schema text; the most important constraint (20 IDs per call) is 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?

Covers everything an agent needs to invoke correctly and interpret the result: the batch cap, both detail modes, overflow handling, missing IDs, and a pointer to the single-ID fallback. An output schema is present for return fields, so the description's grounding from `count`/`missing`/`deferred_ids` is ample.

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%, so the baseline is 3; both parameters are already documented, including the detail enum and max 20 on threat_ids. The description adds marginal value by explaining response-related semantics: what `count` counts, what `missing` contains, and why detail='summary' is what makes 20 fit in one response.

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?

Opens with a specific verb, resource, and constraint: 'Fetch up to 20 threats by ID in one call.' This cleanly separates it from single-ID get_threat, search-based search_threats, and get_recent_threats without needing to read any schema.

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 names the alternative tool with its use case: 'Drill into any row with get_threat(id).' It also gives conditions for choosing the detail mode ('detail="summary" default, all 20 fit' vs 'detail="full"... max 3 ids per call'), so an agent knows when and how to call rather than guessing.

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/threadlinqs-cmd/intelthreadlinqs-mcp'

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