Skip to main content
Glama
threadlinqs-cmd

Intel Threadlinqs MCP

Threat Level

get_threat_level
Read-onlyIdempotent

Retrieve the current threat-landscape level, a computed 0–25 rating of overall security posture, to assess and benchmark your organization's threat exposure in one glance.

Instructions

Get the computed current threat-landscape level (a 0–25 rating of overall posture).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxNo
levelYes
scoreYes
criteriaNo
threats_observedNo
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is covered. The description adds that the value is 'computed' and 'current', implying it's a derived metric. Beyond that, it doesn't disclose behavior like caching, refresh semantics, or what 'computed' entails, though this is minor for a read-only getter.

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?

A single sentence that efficiently states the purpose and output format with zero waste. It includes the meaningful detail of the 0-25 range to set expectations. Every word earns its place.

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?

There is an output schema present, so return-value documentation is covered. For a zero-parameter read-only getter with good annotations and a defined output schema, the description is reasonably complete. It could arguably add what 'threat-landscape' encompasses, but the output schema likely covers the structure. The single-sentence description is adequate for this tool's simplicity.

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?

There are zero parameters, making parameter semantics largely moot. With schema description coverage at 100% and no parameters, the baseline of 4 applies. The description goes slightly beyond by explaining the output is a 0-25 rating, which clarifies what the returned value represents.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description states a specific verb+resource: 'Get the computed current threat-landscape level'. It even clarifies the output is a 0-25 rating of overall posture. However, among many sibling tools (get_landscape_briefing, get_threat_level vs get_recent_threats, etc.), it doesn't explicitly differentiate from alternatives beyond the narrow scope of 'current' stated level.

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 description implies usage via 'computed current threat-landscape level' — this is a snapshot of present posture, distinct from briefing-style or historical tools. However, there's no explicit when-to-use or when-not-to-use guidance, nor naming of alternative tools for comparison, which is notable given 70+ siblings.

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