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deeprunnerai

Odoo MCP Server

by deeprunnerai

odoo_execute

Execute custom methods on Odoo models to perform advanced operations and workflow actions within the ERP system.

Instructions

Execute any method on an Odoo model. For advanced operations like workflow actions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesOdoo model name
methodYesMethod name to call
argsNoPositional arguments for the method
kwargsNoKeyword arguments for the method
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'advanced operations' but doesn't specify critical details like required permissions, potential side effects (e.g., data mutation), error handling, or rate limits. For a tool that can execute any method, this lack of transparency is a significant gap, leaving the agent uncertain about risks and behaviors.

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

Conciseness4/5

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

The description is concise and front-loaded, with a clear main purpose in the first sentence and an additional context note. Both sentences earn their place by defining scope and hinting at use cases. However, it could be slightly more structured by explicitly listing key parameters or use cases.

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 complexity of a tool that can execute any method on an Odoo model, with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits, error conditions, return values, and safety considerations. For such a powerful and potentially risky tool, more comprehensive guidance is needed to ensure safe and effective use.

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 description coverage is 100%, so the schema already documents all parameters (model, method, args, kwargs) with basic descriptions. The description adds minimal value beyond this, as it doesn't explain parameter interactions, provide examples, or clarify semantics like what constitutes valid model/method names. Baseline 3 is appropriate given the schema does the heavy lifting.

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's purpose: 'Execute any method on an Odoo model.' It specifies the verb ('execute') and resource ('any method on an Odoo model'), and the mention of 'advanced operations like workflow actions' provides additional context. However, it doesn't explicitly differentiate from sibling tools like odoo_create or odoo_update, which are more specific operations.

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?

The description implies usage for 'advanced operations like workflow actions,' suggesting this tool is for complex or non-standard tasks. However, it doesn't provide explicit guidance on when to use this tool versus alternatives (e.g., odoo_create for simple creations or odoo_update for updates), nor does it mention prerequisites or exclusions. The context is somewhat vague.

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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