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aidelly_get_ai_credit_balance

Read-onlyIdempotent

Get workspace AI credit balance snapshot, including plan credits, trial grants, and purchased credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional query overrides for endpoints with sparse parameter schemas.
brand_idNo
workspace_idNoWorkspace to operate in. Do not ask the user for this UUID — call aidelly_list_workspaces and use the `id` of the matching workspace. Optional for read operations; required when creating content.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds context on the snapshot components but does not disclose additional behavioral traits such as rate limits or authentication requirements. No contradiction exists.

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?

Single sentence, direct, no redundant wording. Every word contributes to stating the tool's purpose and scope.

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?

The tool has three parameters and no output schema. The description lists the credit categories returned but omits brand_id semantics and does not clarify the `query` parameter's role. With annotations present, the read-only behavior is transparent, but the lack of output schema means more return detail would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67%, leaving brand_id undocumented. The description does not explain any parameters or compensate for the missing coverage; it only lists credit components, not how they map to parameters.

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 uses the specific verb 'Get' and names the resource 'workspace AI credit balance snapshot' with explicit components (plan credits, trial grants, purchased credits). This clearly states what the tool does and distinguishes it from siblings like get_usage or get_analytics_summary.

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 gives no guidance on when to use this tool versus alternatives. It does not mention preconditions, exclusions, or related tools. The only usage hint appears in the workspace_id schema description, which is not part of the tool description.

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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