MCP Odoo Bridge Server

count_records

Count records in Odoo by specifying a model and search filter to retrieve matching record quantities for data analysis.

Instructions

Count records matching a domain.

Args:
    model: The Odoo model name
    domain: Search filter as Odoo domain list

Returns:
    Number of matching records

Example:
    Count unpaid invoices: model='account.move', domain=[['payment_state', '!=', 'paid']]

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "model": "<model>"
    },
    "name": "count_records"
  }
}

Input Schema

Name	Required	Description	Default
`model`	Yes
`domain`	No

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Feb 6, 2026

TDQS

A4.3/5.0

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It describes the tool's behavior (counting records) and the return value (number), but lacks details on permissions, rate limits, error handling, or whether it's read-only. The example adds some practical context, but more behavioral traits could be disclosed.

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 appropriately sized and front-loaded with the core purpose, followed by structured sections for Args, Returns, and an Example. Every sentence earns its place by providing essential information without redundancy.

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 (2 parameters, no annotations, but with an output schema), the description is mostly complete. It explains the purpose, parameters, and return value, and the output schema handles return details. However, it could benefit from more behavioral context like error cases or limitations.

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

Parameters5/5

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

The description adds significant meaning beyond the input schema, which has 0% coverage. It explains that 'model' is the Odoo model name and 'domain' is a search filter as an Odoo domain list, and provides an example illustrating their usage. This fully compensates for the schema's lack of descriptions.

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?

The description clearly states the tool's purpose with specific verb ('Count') and resource ('records matching a domain'), and distinguishes it from siblings like 'search_records' or 'get_record' by focusing on counting rather than retrieving data. The example further clarifies the counting function.

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?

The description provides clear context for when to use this tool (to count records based on a model and domain filter), but does not explicitly mention when not to use it or name specific alternatives. It implies usage for counting rather than retrieving records, which helps differentiate from siblings.

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

Deploy Server