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paymenter_get_dashboard_summary

Fetch key operational metrics including total users, active services, pending invoices, and open tickets to monitor hosting billing and support status.

Instructions

Fetch key operational metrics and statistics: total users, active services, pending invoices, open tickets.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden. It does disclose what the call returns (four aggregate metric families), which is genuinely useful given there is no output schema, but it says nothing about permissions/auth, data freshness, or whether metrics are scoped to the tenant or a time window.

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?

A single front-loaded sentence with the resource stated first and the returned metrics enumerated after. The pairing 'metrics and statistics' is mildly redundant, but otherwise there is no filler.

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?

For a zero-argument, read-only summary tool with no siblings covering the same aggregate, the description supplies the essential information: that it is a fetch and what four things come back. Coverage of scope (tenant-wide? time-bounded?) and freshness is missing, but that is a modest gap for this complexity level.

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 per the rubric the baseline is 4; there is no parameter semantics to explain and the description does not introduce misleading parameter behavior.

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 ('Fetch') and resource (dashboard metrics/statistics: total users, active services, pending invoices, open tickets), which clearly separates it from the per-entity list/get siblings. It never names an alternative sibling explicitly, but the aggregate-summary nature is unambiguous from the enumerated metrics.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative-routing guidance at all; an agent gets no signal about preferring this over paymenter_list_users / paymenter_list_invoices / paymenter_get_user_overview for an overview. Usage is only inferable from the tool's obvious single purpose.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.