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Get Dashboard

get_dashboard
Read-onlyIdempotent

Get the authenticated customer's account summary / dashboard. Returns a set of named cells the customer is allowed to see, such as last_invoice (amount), last_payment (amount), terminated_dids, dids_awaiting_registration, porting requests requiring attention/resubmit, porting FOC numbers, recently canceled verifications and whether channels exist. Each cell has a name and a value; a cell holding an amount also carries its currency. All amounts are in USD.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered. The description goes beyond them by disclosing the authorization filter ('cells the customer is allowed to see'), the cell shape (name + value, currency attached to amounts), and the USD normalization — genuinely useful behavioral context.

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?

Front-loaded with the purpose in the first sentence, then a structured enumeration of returned cells and amount semantics. Slightly dense in the cell listing, but every clause carries information an agent would otherwise have to guess.

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?

No output schema exists, so the description must carry the return contract, and it does so reasonably well by naming the cell set, the name/value pair shape, and currency rules. Missing only the container structure and whether absent cells are omitted versus null.

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 there is nothing for the description to disambiguate. The baseline of 4 applies; the description correctly spends its space on the return payload instead of inventing parameter detail.

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 and resource ('Get the authenticated customer's account summary / dashboard') and enumerates the cell types returned, so the agent knows exactly what this yields. It does not distinguish itself from similar siblings like current_account, get_balance, or list_invoices, which is the only gap.

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?

The description never says when to reach for this tool versus alternatives such as current_account, get_balance, get_invoice, or list_payments, all of which live in the same domain. Usage is only implied by the word 'dashboard'.

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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