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Get AI Studio credits

get_studio_credits
Read-only

Read the account's current AI Studio credit balance and plan.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered without the description's help. The description adds only the notion that 'current' balance and plan are read, which is mildly useful scope context but no auth requirements, rate limits, or freshness caveats.

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?

A single front-loaded sentence with no filler. It names the operation and the two returned values immediately, with nothing trailing that could be cut.

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-parameter read tool with no output schema, the description carries the burden of describing the return payload and does name both components (credit balance and plan). It is nearly sufficient; a brief note on what units or plan fields look like would close the last gap.

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 the schema imposes nothing for the description to explain. Per the rubric this is the baseline-4 case: there is no parameter semantics gap to fill.

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 (Read) and resource (the account's AI Studio credit balance and plan), so an agent knows the exact data returned. It does not, however, distinguish itself from adjacent read tools such as get_usage or get_clip_minutes, which plausibly return overlapping account-level quota information.

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 offers no when-to-use guidance, no prerequisites, and never names an alternative. With siblings like get_usage and get_clip_minutes in the same family, a routing cue (e.g., credits vs. consumption) would be the most valuable thing this description could add, and it is absent.

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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