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ai_pipeline_steps_list

List AI pipeline steps in Odoo by pipeline name. Shows sequence, model method, skill, on_error, and last run state for inspection.

Instructions

List ai.pipeline.step records in Odoo for a given pipeline name. Shows sequence, model.method, skill_id, on_error, last run state — mirrors the Odoo Settings view.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connectionNodefault
pipelineNoPipeline name (tokenize/post/refresh/...)tokenize
include_inactiveNo
Behavior3/5

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

No annotations provided, so description carries burden. 'List' implies read-only but not explicitly stated. No disclosure of side effects or safety characteristics. Adequate but could be clearer.

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 sentences, front-loaded with purpose, no redundant information. Efficient and clear.

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

Completeness4/5

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

For a simple list tool with 3 parameters and no output schema, description covers core purpose and return fields. Missing details on connection and include_inactive parameters, but overall sufficient.

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

Parameters3/5

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

Schema coverage is 33%; only pipeline has schema description. Description reinforces pipeline parameter but does not clarify connection or include_inactive parameters. It does mention return fields, adding some value.

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?

Description clearly states it lists ai.pipeline.step records for a given pipeline name and mentions specific fields shown (sequence, model.method, etc.), distinguishing it from sibling tools like ai_pipeline_run or ai_pipeline_step_execute.

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

Usage Guidelines3/5

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

Implicit usage context but no explicit when-to-use or when-not-to-use. No mention of alternatives like ai_pipeline_step_execute for running steps. Could be improved with a note about not modifying data.

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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