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berthelius

Frihet MCP Server

List Quotes

list_quotes
Read-onlyIdempotent

Fetch quotes with filters by status, date range, client, and series. Supports pagination and field selection to manage proposals.

Instructions

List all quotes/estimates with optional pagination and filters. Quotes are proposals sent to clients before they become invoices. Supports filtering by status (draft/sent/accepted/rejected/expired) and date range. Example: status='sent', from='2026-01-01', limit=20 / Lista todos los presupuestos con paginacion y filtros opcionales. Soporta filtrado por estado y rango de fechas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoEnd date filter (YYYY-MM-DD) / Fecha fin
fromNoStart date filter (YYYY-MM-DD) / Fecha inicio
afterNoCursor for cursor-based pagination (document ID) / Cursor para paginacion basada en cursor
limitNoMax results (1-100) / Resultados maximos
fieldsNoComma-separated field names to return (e.g. 'id,clientName,total') / Campos a devolver
offsetNoOffset / Desplazamiento
statusNoFilter by quote status / Filtrar por estado
clientIdNoFilter by client ID / Filtrar por ID de cliente
seriesIdNoFilter by quote series ID / Filtrar por ID de serie

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
limitYes
totalYes
offsetYes
nextCursorNo
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds that it lists all quotes with pagination and filters, aligning with safe read behavior. No contradictions.

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 English part is concise and front-loaded. The bilingual duplication adds some length but is acceptable for the context. Every sentence adds value.

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 complexity (9 optional params, output schema exists), the description is adequate: it explains the core functionality, supported filters, and gives an example. Pagination method is partially covered through parameter descriptions.

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?

Input schema coverage is 100%, so parameters are well-described. The description adds business context and an example, but does not provide additional semantics beyond the schema.

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 it lists all quotes/estimates with optional filters and pagination. It distinguishes from sibling tools like get_quote (single quote) and create_quote by explaining quotes are proposals before invoices.

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 an example usage and explains the business context (quotes are proposals), implicitly guiding when to use this tool. However, it does not explicitly compare to other list tools or state when not to use it.

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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