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threadlinqs-cmd

Intel Threadlinqs MCP

List Debriefs

list_debriefs
Read-onlyIdempotent

Retrieve recent daily intelligence debriefs, newest first, with per-day rollups of threats, actors, severity counts, and IOCs. Use the summaries to identify which day to drill into, then fetch full detail for that date.

Instructions

List recent daily intelligence debriefs (newest first) with their per-day rollups: new/updated threats, the day's theme, top categories and actors, severity counts, mitre_technique_count (+ mitre_techniques_sample, the first 10 of an alphabetically-sorted ID list — NOT a top-10), and ioc_breakdown by type with ioc_total. Enough to pick the day worth drilling into without fetching each one; use get_debrief for a date's full detail (all techniques, per-threat lists, highlights). Pass limit (default 30, max 100); the result includes has_more (true when the page is full, so older debriefs may exist). NOTE: the debriefs endpoint does not yet honor offset — it serves the most recent window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax debriefs to return (default 30, max 100)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
totalNoTotal matching rows, when the handler reports one.
has_moreNoTrue when another page may exist.
next_cursorNoOpaque cursor for the next page, or null when this is the last page or the endpoint ignores offset.
Behavior5/5

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

Annotations already state readOnlyHint, idempotentHint, and destructiveHint. The description adds important nuance: 'newest first', the presence of has_more when the page is full, that offset is not honored, and that mitre_techniques_sample is a 'NOT AMAN' first-10 alphabetical list rather than a top-10. This goes well beyond the annotations and prevents an agent from making incorrect assumptions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is packed with useful behavioral context, but it also enumerful detail of the output fields (new/updated threats, theme, categories, actors, severity counts, and more) even though an output schema exists. Those are not strictly needed and make the description longer to parse, though it remains well-structured and legible.

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?

Even with an output schema and simple parameter, the description supplies all key contextual steps: the listing purpose, the sibling routing, the has_more pagination flag, the offset limitation, and the ordering. An agent can confidently decide to call the tool and interpret its lack without extra refinement.

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% and the single parameter limit is already documented with its default and max in the parameter description. The tool description merely repeats that ('Pass limit (default 30, max 100)') without adding any new meaning. Baseline for full schema coverage applies.

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 uses the specific verb 'List' with a clear resource ('recent daily intelligence debriefs') and states that results are 'newest first'. It also explicitly contrasts itself with get_debrief, distinguishing the tool from its closest sibling and making the purpose unmistakable.

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?

The description explicitly tells the agent when to use this tool ('Enough to pick the day worth drilling into') and when to use the alternative ('use get_debrief for a date's full details'), and describes the limitation that offset is not honored. The instruction is clear and directly names the alternative.

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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