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aqamahn

Tenable OT Security MCP Server

by aqamahn

Summarize the OT environment

summarize_environment

Obtain a one-shot snapshot of your OT environment with totals for assets, events, vulnerabilities, sensors, topology, and policies. Ideal as an initial call to grasp deployment scale quickly.

Instructions

Returns a one-shot snapshot of the operator's OT environment — total counts and useful subtotals across assets, events, vulnerabilities, sensors, topology, and policies. Ideal as the first call when the AI doesn't yet know the deployment's shape and scale. Each section is a compact dict; subtotals are best-effort (only those Tenable's filters support are populated).

Asset criticality buckets: none / low / medium / high. Plugin severity buckets: info / low / medium / high / critical. Event subtotals split by resolved flag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that subtotals are 'best-effort' and that only filters supported by Tenable are populated, and it defines bucket categories. It doesn't explicitly state the operation is read-only, but 'Returns a snapshot' and the absence of side effects imply it.

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

Conciseness4/5

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

The description is efficient and front-loaded with the main purpose. It adds a brief note on best-effort behavior and bucket definitions without unnecessary verbosity. Minor redundancy with the sibling list could be trimmed, but it's well-structured.

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?

The description is complete for a zero-parameter summary tool. It covers the general content, the best-effort caveat, and the key classification buckets. Since an output schema exists, return format details are already structured, so the description does not need to repeat them.

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?

The tool has zero parameters, so the baseline is 4. The description does not need to explain parameters; it instead describes the output categories and subtleties, which is appropriate.

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 states a specific verb ('Returns') and resource ('snapshot of the operator's OT environment'), clearly listing the content (asset, events, vulnerabilities, sensors, topology, policies). It distinguishes itself from siblings by positioning as a broad overview versus specific query tools.

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?

It explicitly says 'Ideal as the first call when the AI doesn't yet know the deployment's shape and scale,' giving a clear usage context. It does not name alternatives or exclusions, so it stops short of a 5.

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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