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deeprunnerai

Odoo MCP Server

by deeprunnerai

odoo_search_read

Search and retrieve Odoo records with specified criteria in a single efficient operation, enabling data access from models like Inventory, CRM, Sales, and Manufacturing.

Instructions

Search and read records in one call. Most efficient way to get data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesOdoo model name
domainYesSearch domain as array of conditions
fieldsNoList of field names to retrieve
limitNoMaximum number of records
orderNoSort order
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. While it mentions efficiency, it doesn't describe important behavioral traits like whether this is a read-only operation, potential rate limits, authentication requirements, error handling, or what the return format looks like. For a tool with 5 parameters and no annotations, this leaves significant gaps.

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 extremely concise with just two sentences that directly state the tool's purpose and efficiency benefit. Every word earns its place, and it's front-loaded with the core functionality. There's no wasted verbiage or unnecessary elaboration.

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 tool's complexity (5 parameters, no output schema, no annotations), the description is insufficiently complete. It doesn't explain what the tool returns, how results are structured, any limitations or constraints, or how it differs from sibling tools. For a data retrieval tool in a system with multiple similar operations, 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 description doesn't add any parameter-specific information beyond what's already in the input schema, which has 100% coverage with clear descriptions for all 5 parameters. According to the rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no param info in the description, which applies here.

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: 'Search and read records in one call.' It specifies the verb ('search and read') and resource ('records'), making it easy to understand what the tool does. However, it doesn't explicitly distinguish this tool from its siblings like 'odoo_search' or 'odoo_read', which would require a 5.

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 provides some usage guidance by stating this is the 'Most efficient way to get data,' implying it should be preferred over separate search and read operations. However, it doesn't explicitly say when to use this tool versus alternatives like 'odoo_search' or 'odoo_read', nor does it mention any exclusions or prerequisites.

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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