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Watch rules of this account

jt_watch_rules_list
Read-onlyIdempotent

Rules this account uses to watch aircraft BY PROFILE (model family, base state, category, RBAC classification) instead of one registration at a time: every live tail matching a rule is watched, including ones registered after the rule was created. Adds to (never replaces) the explicit list from jt_watch_list. Max 50 rules. Requires an account key (Enterprise).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoMachine-readable error code (INTERNAL, TIMEOUT, INVALID_ARGUMENT, NOT_FOUND, TOOL_FAILED, ACCOUNT_KEY_REQUIRED).
_metaNo
errorNo
foundNo
gatedNo
requestIdNo
retryableNo
quota_exceededNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnly/idempotent/non-destructive annotations, the description adds valuable behavior: rules match dynamically, future registrations are included, rules complement explicit watches, max 50 rules, and an Enterprise account key is required. This goes well beyond the structured 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?

Every sentence earns its place: core purpose, behavioral nuance, relationship to sibling tool, limit, and auth requirement. It is front-loaded with the primary function and has no filler.

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 zero-parameter, read-only list tool with an output schema and strong annotations, the description is complete. It explains semantics, dynamic behavior, limits, relationship to alternatives, and authentication requirements.

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 input schema has no properties, so there are no parameter semantics to clarify; the description appropriately adds no parameter noise. The account-key requirement is useful context even though it is not a parameter.

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 identifies the resource as 'rules this account uses to watch aircraft BY PROFILE' and distinguishes it from registration-based watching. It also explicitly contrasts with jt_watch_list, so an agent can tell them apart without inspecting schemas.

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 gives clear context: profile-based rules apply to every matching tail and add to, never replace, the explicit watch list. It names jt_watch_list as the complementary tool, but does not explicitly spell out when not to use this tool or enumerate all alternatives.

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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