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Mencoro

Get plan and usage

get_usage
Read-onlyIdempotent

An organization's subscription, how many tracked queries it has, and how many checks they are projected to run per month. Plan entitlements (tracked-query and check limits) are included for owners only, as in the web app; for other members "entitlements" is null. Use it before creating tracked queries or raising check frequency, to stay within the plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organizationIdYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
entitlementsYesNull unless the caller owns the organization.
subscriptionYesThe current subscription contract of an organization
trackedQueriesYesHow many tracked queries an organization has configured
projectedMonthlyChecksYesWhat an organization's current tracking configuration would consume in a month

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / projectedMonthlyChecks / properties / projectedMonthlyChecks / description
      Previous value: -"Checks a month of the current configuration would consume: for each ACTIVE tracked query, its runs per month (daily 30, weekly 4, monthly 1) multiplied by its nPasses, summed. Never null."New value: +"Checks a month of the current configuration would consume: for each ACTIVE tracked query, its runs per month (daily 30, weekly 4, monthly 1) multiplied by its nPasses and engine weight, summed. Claude uses five checks per pass; every other engine uses one. Never null."
  2. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds genuinely non-obvious behavior: entitlements are populated only for owners and are null for other members, matching the web app. That is real context beyond the annotations.

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?

Two sentences, front-loaded with what is returned and then the action guidance; every clause earns its place by conveying scope, ownership visibility, or usage timing. Slightly dense but not padded.

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 an output schema present, the description needn't explain return values, yet it usefully flags the owner-only entitlements nuance. For a one-parameter read tool with strong annotations, little is missing beyond the org identifier format.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single organizationId parameter, and the description only implies org scoping via possessive phrasing ('An organization's subscription'). It never states the expected identifier format, so it does not compensate for the schema gap, but a single obvious param keeps this near the baseline.

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?

The description states a specific resource set — subscription, tracked-query count, projected monthly checks, and plan entitlements — which is more concrete than the name alone. It distinguishes itself implicitly from list/get siblings like get_organization_overview, but never names a sibling to sharpen the boundary.

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 a clear prescriptive context: 'Use it before creating tracked queries or raising check frequency, to stay within the plan.' That tells the agent when this tool is relevant, though it names no alternative tool or explicit when-not condition.

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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