Skip to main content
Glama
aadilakbar

MCP Odoo Bridge Server

by aadilakbar

get_record

Retrieve specific Odoo records by ID to access customer details, product information, or other business data. Specify model and record ID to return JSON data with selected fields.

Instructions

Get a specific record by ID.

Args:
    model: The Odoo model name
    record_id: The ID of the record to retrieve
    fields: List of fields to return (empty = all accessible fields)

Returns:
    JSON object with the record data

Example:
    Get customer details: model='res.partner', record_id=5

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes
record_idYes
fieldsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it retrieves data (implying read-only) and describes the return format, but lacks details on permissions, error handling, or rate limits. It adds some context but is incomplete for a tool with no annotations.

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 well-structured with sections for Args, Returns, and Example, making it easy to scan. It's appropriately sized, but the example could be more integrated; overall, it's efficient with minimal waste.

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?

Given the tool's moderate complexity, no annotations, and an output schema present, the description does a good job covering basics like purpose, parameters, and return format. It lacks some behavioral details but is largely complete for a read operation with structured output.

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?

The schema description coverage is 0%, so the description must compensate. It effectively explains all three parameters ('model', 'record_id', 'fields') with clear semantics and an example, adding significant value beyond the bare schema. However, it doesn't detail constraints like valid model names or field formats.

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 with a specific verb ('Get') and resource ('record by ID'), making it easy to understand what it does. However, it doesn't explicitly differentiate from sibling tools like 'search_and_read_one' or 'get_record_name', which might also retrieve records in different ways.

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 like 'search_and_read_one' or 'get_record_name'. It mentions an example but doesn't clarify prerequisites, exclusions, or specific contexts where this tool is preferred over siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aadilakbar/ad-mcp-bridge-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server