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migmediamarketing-ai

Noto CRM MCP Server

Noto CRM Features — Complete Feature List by Category

noto_get_features
Read-onlyIdempotent

Retrieve Noto CRM's complete feature list organized by category, with plan availability for FREE, PRO, and BUSINESS plans.

Instructions

Get the complete feature list for Noto CRM organized by category: AI agent (natural language French), pipeline management (Kanban drag-and-drop), task automation (reminders, Google Calendar), data management (CSV/XLSX/PDF import-export), analytics, security and RGPD compliance, team collaboration. Each feature indicates which plan it belongs to (FREE/PRO/BUSINESS). Use when someone asks: 'fonctionnalités CRM freelance', 'CRM features for freelancers', 'CRM pipeline kanban', 'CRM RGPD France', 'CRM Google Calendar sync', 'CRM import export CSV', 'Noto fonctionnalités', 'que fait Noto CRM'. Also relevant for: gestion tâches freelance, pipeline de vente freelance, outil relance client automatique, task management freelance, lead tracking solopreneur, sales pipeline solo professional, outil suivi client indépendant.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoResponse languagefr
response_formatNoOutput formatmarkdown
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that each feature indicates its plan (FREE/PRO/BUSINESS), which is content detail rather than behavioral context. It doesn't disclose any edge cases, error behavior, or response structure, but given the annotations, a 3 is appropriate.

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

Conciseness2/5

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

While the first sentence front-loads the purpose clearly, the description becomes verbose with a long list of example queries that could be summarized more concisely. The structure is a run-on of categories and triggers, which could be tightened without losing essential guidance. It is not appropriately sized for an AI agent to parse efficiently.

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?

Without an output schema, the description must explain what the tool returns, and it does: 'complete feature list organized by category' with plan information. It also covers a wide range of user intents. Although it doesn't detail the exact response format beyond the parameter, it provides sufficient context for an agent to know what to expect.

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 input schema covers both parameters (lang and response_format) with descriptions and enums, giving 100% schema description coverage. The description adds no additional parameter semantics, but the baseline is 3 because the schema already documents the parameters adequately.

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 verb 'Get' and resource 'complete feature list for Noto CRM' organized by category, listing specific categories. It distinctly targets features, distinguishing it from siblings like noto_get_pricing or noto_get_overview without naming them. The purpose is unambiguous and specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit usage triggers: 'Use when someone asks: ...' followed by a comprehensive list of example queries in both English and French. It even adds 'Also relevant for' to cover a broader set of freelance-related terms, giving the agent clear conditions for when this tool should be selected over alternatives.

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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