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by io.github.pipeworx-io
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Create Deployment Prediction

create_deployment_prediction
Idempotent

Run via a deployment.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "my-deployment",
      "input": {
        "prompt": "a cat painting a picture"
      },
      "owner": "my-username"
    },
    "name": "create_deployment_prediction"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
inputYes
ownerYes
streamNo
webhookNo
webhook_events_filterNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.3/5.0
Behavior1/5

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

The description adds no behavioral context beyond the annotations, which already declare non-read-only, open-world, idempotent, and non-destructive behavior. It does not explain what gets created, whether a deployment must exist, how streaming or webhooks affect execution, or any auth requirements.

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

Conciseness2/5

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

The single sentence is short but under-specified rather than concise, providing almost no actionable information. It is front-loaded but the content is too thin to earn its place as a tool description.

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

Completeness1/5

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

For a six-parameter mutation tool with no output schema and no per-parameter schema descriptions, the description is completely inadequate. It omits required deployment context, parameter meaning, and return behavior, leaving the agent unable to invoke the tool correctly.

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% across six parameters, and the description supplies no meaning for owner, name, input, stream, webhook, or webhook_events_filter. The agent receives no semantic guidance for any parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Run via a deployment" gives a vague verb and resource but does not clearly state that this creates a deployment-based prediction. It fails to distinguish the tool from the sibling create_prediction, leaving the agent to infer the actual purpose from the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as create_prediction, list_deployments, or list_predictions. No prerequisites, context, or exclusions are mentioned.

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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