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Tenable OT Security MCP Server

by aqamahn

Check what references an object before changing it

list_policy_relationships

Identify live detection policies affected by changing a shared object like an asset group or baseline. Run this before edits to avoid silent coverage changes.

Instructions

Answers 'what breaks if I change this?' — the impact check to run BEFORE any write that touches a shared object (asset group, schedule group, port/protocol group, baseline).

Tenable OT's policy mutations are FULL REPLACES, so an edit lands completely and silently. If a live detection policy scopes to the group you're about to archive or re-scope, that policy's coverage changes with no warning. This tool surfaces those dependants first.

kind selects the relationship: • policies_containing — policies that CONTAIN the given object id (needs target_id) • used_in_policies — policies that USE the given object id (needs target_id). Tenable exposes both directions; check both when the answer matters. • baseline_policies — policies bound to the network baseline (no id needed) • ids_rules — the IDS rule catalogue with SIDs, classifications and enabled state (no id needed)

The impact block gives the verdict: how many referencing policies are actually LIVE (not disabled/archived/paused), and their titles. An archived policy referencing the object is not a reason to hold back; a live one is.

READ-ONLY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
afterNo
limitNo
target_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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 the tool is READ-ONLY, explains the impact block's verdict (live vs archived policies), and warns about full-replace mutations in Tenable OT. This is rich behavioral context beyond what any annotation would provide.

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?

The description is relatively long but densely informative. Every sentence serves a purpose, and the bullet-point structure for `kind` values makes it easy to scan. It avoids fluff and tautology.

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?

Given no annotations, four parameters, and an existing output schema, the description is complete. It covers the tool's role, usage context, parameter semantics, and expected verdict structure. The agent has everything needed to decide when and how to invoke it correctly.

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 has 0% description coverage, so the description must compensate. It thoroughly explains `kind` and `target_id` (including when `target_id` is needed). It doesn't explicitly define `after`/`limit`, but they are clearly pagination parameters and contextually obvious. The description adds substantial meaning for the core parameters.

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 clearly states the tool's purpose: 'Answers what breaks if I change this?' and identifies it as the impact check before writes on shared objects. It explicitly enumerates the relationship types via `kind`, distinguishing it from sibling list tools.

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?

It provides explicit when-to-use guidance ('the impact check to run BEFORE any write that touches a shared object'), explains when each `kind` is appropriate, and advises checking both directions for completeness. This is strong usage 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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