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Text-Em-All MCP by usefulapi

Get account settings

get_account
Read-only

Fetch your Text-Em-All account settings — company/billing info plus credit balances (AvailableCallUnits, CallBalance) used for sending. Text-Em-All API: GET /v1/account. Use this first to confirm your credentials work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so safety is covered. The description adds real value beyond that by disclosing the return payload (company/billing info, AvailableCallUnits, CallBalance) and its role as a credential smoke test — useful given there is no output schema. It omits auth requirements or rate-limit behavior, but the annotations lower the bar.

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 tightly packed sentences: purpose and payload first, then endpoint and usage cue. No filler, every clause carries information.

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 no-param read tool with no output schema, the description supplies enough: what is returned, specific field names, and how to use it. It could go one step further on error/auth-failure behavior, but nothing essential for calling it correctly is missing.

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 baseline there is nothing to document and no way for the description to add parameter meaning. Schema coverage is 100% on an empty object.

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?

States a specific verb ('Fetch'), a specific resource ('Text-Em-All account settings'), and enumerates the payload ('company/billing info plus credit balances'). It also names the endpoint (GET /v1/account), so an agent can distinguish it from siblings like list_broadcasts or get_authorization_token without opening any schema.

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?

Explicitly tells the agent when to reach for it: 'Use this first to confirm your credentials work,' which is actionable sequencing guidance. It stops short of naming alternatives or stating exclusions (e.g., when not to call it), so it lands at clear-context without full when/when-not coverage.

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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