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Run OrangePro agent

orangepro_run_agent
Idempotent

Start an agent run to trigger data ingestion, knowledge graph sync, or test generation. Safe to retry; returns active run if already in progress.

Instructions

Start an OrangePro agent run. Safe to retry — the API returns the active run if one is already in progress. Use this to trigger data ingestion, KG sync, or test generation agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesThe agent_id to run. Get this from orangepro_list_agents.
tenant_idNoOrangePro tenant id. Defaults to ORANGEPRO_TENANT_ID env var.
Behavior5/5

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

The description confirms the idempotentHint annotation by stating it's safe to retry and explains the API returns the active run if in progress, adding behavioral context beyond 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?

Two short sentences, front-loaded with the action and safety note. No wasted words.

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 tool with 2 parameters and no output schema, the description covers purpose, idempotency, common uses, and parameter origins. Nothing is missing.

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?

Schema coverage is 100% with descriptions for both parameters. The description adds valuable context: agent_id is obtained from list_agents, tenant_id defaults to an environment variable.

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 specific verbs ('Start'), identifies the resource ('OrangePro agent run'), and lists concrete use cases (data ingestion, KG sync, test generation). It clearly distinguishes from sibling tools like orangepro_list_agents.

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?

The description explicitly states it is safe to retry and provides example use cases. While it doesn't list when not to use it or mention alternatives, the context and sibling tool list imply appropriate 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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