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daedalusdevelopmentgroup

io.github.daedalusdevelopmentgroup/ddg-agent-services-mcp

Official

ddg_run_paid_model

Run a paid AI model or agent route by providing a route, prompt, and valid payment headers.

Instructions

Run a paid model/chat or agent-run route after caller supplies valid payment headers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
routeYes
promptYes
payment_headersNo
agent_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions 'paid model' implying cost but does not describe idempotency, failure modes, rate limits, or whether the operation is destructive. The description is insufficient for an agent to understand side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, making it concise. However, it could be structured to separate purpose from preconditions. The brevity leaves out important details.

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

Completeness2/5

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

Given the tool's complexity (payment, model execution, multiple parameters) and the lack of annotations, the description is incomplete. It does not cover return values (though output schema exists), error scenarios, or required payment header format. An AI agent would lack sufficient context for reliable use.

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

Parameters1/5

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

Schema description coverage is 0%, meaning the description adds no meaning to the parameters. The description does not explain 'route', 'prompt', 'payment_headers', or 'agent_id'. For a tool with 4 parameters, this is a critical gap, and the description fails to compensate for the low coverage.

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?

The description clearly states the tool runs a paid model/chat or agent-run route, with the precondition of valid payment headers. The verb 'run' and noun 'paid model' make the action specific. However, it does not explicitly differentiate from sibling tools like ddg_request_ollama_model or ddg_list_models, leaving some ambiguity.

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 only mentions a precondition (valid payment headers) but provides no guidance on when to use this tool versus alternatives. It does not explain when not to use it or refer to sibling tools for comparison.

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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