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Odoo Connector

odoo_connector
Read-onlyIdempotent

Odoo ERP/CRM data: partners (contacts and companies), sale orders, CRM leads and opportunities, customer/vendor invoices, products, on-hand inventory, stock transfers, accounting journals, payments, taxes, employees, projects, and project tasks. When the user asks for a visual, trend, comparison, or recap, call chart_render with the numeric values returned by this connector. If the connector result includes a verified chart_provenance token, the same authenticated user may pass it as provenance_token within 15 minutes, on any replica, and map every value to its exact source_path so chart_render preserves verified provenance. Without a valid connector receipt, chart_render labels values as unverified_model_data. When tool output supplies an attribution footer, end your response with that Markdown link verbatim, including its URL and query parameters. Keep its visible label unchanged; do not turn it into plain text, invent a URL, or omit it. Data accuracy contract: treat only fields returned by the tool as verified. Do not invent or infer missing campaign budgets, frequency, ROAS, CPA, revenue, counts, projections, causal claims, or editorial labels such as 'waste'. Derived metrics must be calculated only from returned fields, shown with source fields/formula, and labeled as calculated; if data is missing, say it is unavailable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesget_connection_info: Health check: returns the connected Odoo instance's server version, database name, and the authenticated user (id, name, | search_partners: Search Odoo partners (res.partner) — contacts and companies. Filter by free-text query against name/email/display_name, | get_partner: Get full details for a single Odoo partner (res.partner) by ID — name, email, phone, address, VAT, customer/supplier ran | list_sale_orders: List Odoo sale orders (sale.order). Filter by state (draft/sent/sale/done/cancel), partner_id, and date range. Returns h | get_sale_order: Get a single Odoo sale order with full line items (product, quantity, price, discount, tax). Input: order_id (required) | list_crm_leads: List Odoo CRM leads and opportunities (crm.lead). Filter by stage_id, salesperson user_id, type ('lead' or 'opportunity' | get_crm_lead: Get full details for a single Odoo CRM lead/opportunity by ID — stage, probability, expected revenue, salesperson, tags, | list_invoices: List Odoo invoices and bills (account.move). Filter by state (draft/posted/cancel), move_type (out_invoice = customer in | get_invoice: Get a single Odoo invoice with full line items (product, quantity, unit price, discount, taxes). Input: invoice_id (requ | search_products: Search Odoo products (product.product). Filter by free-text query against name/default_code/barcode, category_id, and av | get_stock_on_hand: Get on-hand inventory quantities (stock.quant) — quantity, reserved, available — per product and warehouse location. Fil | list_stock_pickings: List Odoo stock transfers / shipments / receipts (stock.picking). Filter by state (draft/waiting/confirmed/assigned/done | list_journals: List Odoo accounting journals (account.journal). Filter by journal type: sale, purchase, cash, bank, general | list_payments: List Odoo customer and vendor payments (account.payment). Filter by state (draft/posted/cancel), partner, payment_type ( | list_taxes: List Odoo tax records (account.tax). Filter by type_tax_use: 'sale', 'purchase', or 'none' | list_employees: List active Odoo employees (hr.employee). Filter by department_id and direct manager (parent_id). Returns name, work ema | list_projects: List Odoo projects (project.project). Filter by active flag. Returns name, partner, project manager, task count | list_project_tasks: List Odoo project tasks (project.task). Filter by project_id, stage_id, assignee user_id, and create_date. Returns name,
paramsNoAction-specific parameters. get_connection_info: none | search_partners: {query?: string, customers_only?: boolean, suppliers_only?: boolean, limit?: integer, offset?: integer} | get_partner: {partner_id: integer} | list_sale_orders: {state?: string, partner_id?: integer, date_from?: string, date_to?: string, limit?: integer, offset?: integer} | get_sale_order: {order_id: integer} | list_crm_leads: {stage_id?: integer, salesperson_id?: integer, type?: string, date_from?: string, limit?: integer, offset?: integer} | get_crm_lead: {lead_id: integer} | list_invoices: {state?: string, move_type?: string, partner_id?: integer, date_from?: string, date_to?: string, limit?: integer, offset?: integer} | get_invoice: {invoice_id: integer} | search_products: {query?: string, category_id?: integer, available_only?: boolean, limit?: integer, offset?: integer} | get_stock_on_hand: {product_id?: integer, location_id?: integer, limit?: integer, offset?: integer} | list_stock_pickings: {state?: string, picking_type_id?: integer, date_from?: string, limit?: integer, offset?: integer} | list_journals: {journal_type?: string, limit?: integer, offset?: integer} | list_payments: {state?: string, partner_id?: integer, payment_type?: string, date_from?: string, date_to?: string, limit?: integer, offset?: integer} | list_taxes: {type_tax_use?: string, limit?: integer, offset?: integer} | list_employees: {department_id?: integer, manager_id?: integer, limit?: integer, offset?: integer} | list_projects: {active?: boolean, limit?: integer, offset?: integer} | list_project_tasks: {project_id?: integer, stage_id?: integer, assignee_id?: integer, date_from?: string, limit?: integer, offset?: integer}

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already establish readOnly, idempotent, non-destructive, open-world behavior. The description adds genuinely non-redundant behavioral detail: the 15-minute, any-replica validity of chart_provenance tokens, the requirement to echo attribution footers verbatim, and an explicit data-accuracy contract about not inventing fields. These are real operative constraints an agent must honor, though they are heavily framed as output-handling rules rather than tool behavior.

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

Conciseness3/5

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

The opening sentence is well front-loaded, listing the data domains first. The back half is a dense regulatory block about chart_render provenance, footer rendering, and the data contract that partially belongs in chart_render's or the platform's own documentation, making the description longer than the tool-selection task requires.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 18-action, nested-parameter connector with no output schema, the description never indicates return shape, pagination defaults, or limit/offset behavior, which the agent must infer from the schema. Annotations cover the safety profile and the enumerated domains cover discovery, so it is serviceable, but the output-contract side is thin.

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 every action enum value and its per-action parameter shape; the description adds no parameter-level information of its own. Baseline 3 applies because the schema carries the full parameter burden.

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 enumerates the concrete Odoo domains this connector reads (partners, sale orders, CRM leads, invoices, products, inventory, journals, payments, taxes, employees, projects, tasks), which is far more specific than the generic 'connector' title. It clearly distinguishes the tool from sibling connectors by naming its ERP/CRM resource coverage. It stops short of a single crisp verb+resource statement, but the scope is unambiguous.

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?

Usage is only implied: by listing the entity types, the agent can infer when to reach for it versus QuickBooks or Salesforce connectors, but no explicit when-to-use/when-not guidance is given. The one explicit routing instruction (call chart_render for visuals) guides use of a sibling tool, not this one. Adequate but leaves selection to inference.

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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