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threadlinqs-cmd

Intel Threadlinqs MCP

Daily Theme

get_daily_theme
Read-onlyIdempotent

See the daily threat landscape for the past 14 days: get each day's top 6 threat tags, live or snapshot tag source, and the generated theme sentence.

Instructions

Get the recent daily landscape themes (newest first, 14 days) with each day's top 6 threat tags. tags is recomputed LIVE over that date's threats, ranked count-descending with an alphabetical tie-break, and tags_source says whether a row used the live rollup ('live'), the stored nightly snapshot ('snapshot') or had no tags at all ('none') — tags_available is the boolean. The theme SENTENCE is generated just after midnight ET, before the day's ingest finishes, so theme_note/snapshot_threat_count disclose how many of the day's threats it was actually written from; when they disagree, trust tags.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
themesNo
tags_noteNo
yesterdayNo
Behavior5/5

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

The description discloses subtle behaviors that annotations cannot capture: tags are recomputed live, tags_source distinguishes live/snapshot/none, and the theme sentence may be generated before ingest finishes, making snapshot_threat_count and theme_note potentially inconsistent. It also gives trust guidance: when they disagree, trust tags. This exceeds the baseline provided by 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?

Three dense, purposeful sentences each deliver a distinct semantic point: the core data scope, the live/snapshot/no-tag distinction, and the stale-theme caveat. The most important information is front-loaded first and the description contains no wasted wording.

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?

For a no-argument read tool, the description covers ordering, time horizon, ranking rules, tie-breaking, field provenance, staleness, and a trust heuristic, leaving no call-critical question unanswered. The output schema can fill in exact field names, so no missing return-value explanation is needed.

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?

This tool has zero parameters, so there is no input-schema ambiguity for a description to resolve. The description appropriately devotes its space to output semantics rather than parameter details, matching the baseline for a no-parameter tool.

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?

Begins with a concrete verb and resource: 'Get the recent daily landscape themes', immediately scoped by 'newest first, 14 days' and 'top 6 threat tags'. This makes the tool's identity and output unmistakable and clearly differentiates it from other daily-intel sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is strongly implied: call this when you need recent daily landscape themes with associated threat tags. However, it does not explicitly say when to prefer this over similar intel-read siblings such as get_landscape_briefing or get_daily_intel_bundle, so there is no direct alternative 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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