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Glama

Get Credits

get_credits
Read-onlyIdempotent

Get the remaining credit balance for this account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, and the description ('Get the remaining credit balance') is consistent with these. The description adds no extra behavioral context beyond what the annotations provide, but since it is a simple read operation, no further disclosure is necessary. It neither contradicts nor meaningfully extends the annotations.

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?

The description is a single, front-loaded sentence that states the action and resource without any filler. Every word contributes to the meaning, making it exceptionally concise and well-structured.

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

Completeness5/5

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

For a zero-parameter, read-only tool with no output schema, the description fully captures what the tool does. There are no missing details an agent would need to call it correctly; the absence of parameters and the simple nature of the tool make this description 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 has no parameters, and the schema coverage is 100% (empty schema). With zero parameters, the description has no parameter semantics to clarify, so a baseline of 4 is appropriate. No additional explanation is needed.

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?

The description states a specific verb ('Get') and a clear resource ('remaining credit balance for this account'), making the tool's purpose unambiguous. It is clearly distinct from the sibling tools 'generate_image' and 'list_models' based on the action and resource mentioned.

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?

While the description does not explicitly mention alternatives or exclusions, the purpose is self-evident and the tool has no parameters, so there is little ambiguity about when to use it. The siblings are unrelated in function, and the absence of explicit guidance does not hinder correct usage.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool maps cleanly to a distinct action: generate new media, edit media, retrieve by ID, list history, view models, check credits, and quote a potential cost. Even check_generation and list_generations are clearly separated by lookup-by-id versus listing. No two tools appear to do the same thing.

Naming Consistency5/5

Every tool follows the same verb_noun snake_case pattern, such as generate_image, list_models, and quote_generation. The verbs are descriptive and consistently chosen for each operation. This makes the tool surface highly predictable for an agent.

Tool Count5/5

Eight tools is well-scoped for a media generation server covering image generation, video generation, editing, history retrieval, model discovery, and credit management. Each tool serves a clear purpose without redundancy or feature bloat.

Completeness5/5

The tool set covers the full generation lifecycle: creating images, creating videos, editing images, checking generation status, listing past results, inspecting models and costs, quoting prices, and checking credits. There are no obvious dead ends or missing core operations for the stated domain.

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