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deeprunnerai

Odoo MCP Server

by deeprunnerai

purchase_create_order

Create purchase orders in Odoo ERP by specifying vendor ID and product details to initiate procurement workflows.

Instructions

Create a new purchase order

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
partner_idYesVendor partner ID
linesYesOrder lines with product, quantity, and price
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Create a new purchase order' implies a write/mutation operation, but it doesn't mention permissions required, whether this is reversible, what happens on success/failure, or any rate limits. This is inadequate for a mutation tool with zero annotation coverage.

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?

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's perfectly front-loaded and appropriately sized for the tool's complexity.

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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what a purchase order is in this context, what happens after creation, or any prerequisites. Given the complexity of creating orders and the lack of structured data, more context is needed.

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?

The schema description coverage is 100%, with both parameters ('partner_id' and 'lines') clearly documented in the schema. The description adds no additional parameter information beyond what's in the schema, so it meets the baseline for adequate but unremarkable 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 action ('Create') and resource ('purchase order'), making the purpose immediately understandable. However, it doesn't differentiate this tool from similar tools like 'sales_create_order' or 'manufacturing_create_order' beyond the resource type, which prevents a perfect score.

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 provides no guidance on when to use this tool versus alternatives. With sibling tools like 'sales_create_order' and 'manufacturing_create_order' available, there's no indication of what distinguishes purchase orders from sales or manufacturing orders, leaving the agent to guess based on context.

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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