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get_plan_features

Read-onlyIdempotent

Read the caller org's plan code, plan display name, resolved feature flag map (plan defaults merged with admin overrides), trial end date, and billing interval. Use this before calling a tool that might hit a plan gate (aiAdvanced, automations, governance, etc.) so you can fail fast or surface the gate to the user.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and non-open-world, so the safety profile is covered. The description adds value beyond them by disclosing that the flag map is 'plan defaults merged with admin overrides' and that the read is scoped to the caller org, which explains why no parameters are needed.

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?

Two sentences, both front-loaded: the return payload first, then the usage condition. The field enumeration is dense but every listed field earns its place because there is no output schema to carry it.

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?

With no output schema, the description usefully enumerates the returned fields, and annotations carry the safety profile, so an agent has what it needs. Minor residual gaps (shape of the feature-flag map, behavior for an org with no plan/trial) keep it just short of full completeness.

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 takes zero parameters, so by the rubric baseline is 4; the description correctly implies a no-argument, caller-scoped read. There are no parameters for it to add syntax or format detail to.

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?

States a specific verb ('Read') and enumerates the exact resource set (plan code, display name, resolved feature flag map, trial end, billing interval), which goes well beyond restating the name. It does not explicitly name or distinguish itself from the nearby sibling get_plan, so it lands at clear-but-undifferentiated rather than fully differentiated.

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?

Gives an explicit trigger — call it before invoking a tool that may hit a plan gate (aiAdvanced, automations, governance) — plus the rationale (fail fast or surface the gate). It stops short of naming a concrete alternative tool or a when-not-to-use condition, so it is strong context without full routing 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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