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emailwarmup

get_credits

Read-onlyIdempotent

Prepaid credit balance, prices and recent charges (Outbound emails, AI drafts).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description contributes the actual payload contents (balance, prices, recent charges) but says nothing about scope (account-wide vs workspace), how far back 'recent' goes, or ordering — meaningful gaps since there is no output schema.

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 compact sentence with the core noun front-loaded and no filler. It is fragmentary rather than prose, which is acceptable for a one-liner but leaves no room for guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no parameters, the description is the sole window into the response, and it only partially covers it: it lists balance, prices and charges but omits format, time window, and whether charges are paginated or limited. Adequate for a simple read, not fully complete.

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 no parameter meaning to convey; baseline applies. The description correctly implies no inputs are required by describing a pure lookup.

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?

Names the specific resource (prepaid credit balance) and the data returned (prices and recent charges, with examples of charge types). It is clearly a read of credit/billing data, though it stops short of naming the sibling get_billing_status or create_credits_checkout it must be distinguished from.

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?

No when-to-use guidance at all. Nothing tells the agent how this differs from get_billing_status or when to call it rather than create_credits_checkout; the agent must infer usage from the noun phrase alone.

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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