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odoo_detect_drift

Detect field drift between source code and live Odoo database, identifying un-upgraded modules, manual changes, or type mismatches.

Instructions

Compare a model's SOURCE fields against the LIVE database and report drift (Studio/manual fields, un-upgraded modules, type mismatches). Needs both the source tree (TIER_2) and a live connection (TIER_0).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes
Behavior4/5

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

With no annotations, the description carries full burden. It explains the comparison action and what is reported (drift types). It does not discuss failure modes or output format, but for a detection tool it is adequate.

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, no redundancy. First sentence states purpose and deliverables, second sentence states requirements. Front-loaded with key action.

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?

Simple tool with one parameter and no output schema. The description covers purpose, what is reported, and prerequisites. Nothing essential is missing for an agent to understand and invoke the tool.

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

Parameters2/5

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

Only one parameter 'model' with no schema description (0% coverage). The description adds minimal context by referring to 'model's SOURCE fields', but does not specify expected format or valid values.

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?

Clearly states it compares source fields against live database to report drift, listing specific drift types (Studio/manual fields, un-upgraded modules, type mismatches). This distinguishes it from sibling tools like odoo_model_source or odoo_status.

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?

Explicitly states prerequisites (source tree and live connection) needed for use. Does not provide explicit exclusions or alternatives, but the context is clear enough for an agent to infer when to use.

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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