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add_note

Store a note under a category, creating the category automatically if it does not exist, so your thoughts stay organized.

Instructions

Add a note under a given category. If the category doesn't exist, it will be created automatically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
categoryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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. It usefully reveals the key side effect—missing categories are created automatically—which is not visible from the schema or tool name. It does not discuss duplication or return behavior, but for a simple add operation the essential behavior is 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?

Two short sentences with no filler. The main action is front-loaded, and the conditional side effect is given in the second sentence. Every sentence earns its place.

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?

The tool is simple, with two required string parameters and an output schema, so the description does not need to explain return values. It covers the core behavior and the most important non-obvious side effect. A small gap is the absence of explicit guidance for choosing add_note versus create_category, but the auto-create behavior reduces practical ambiguity.

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 0%, so the description needs to compensate. It explains the category parameter's role and implied existence behavior, but it does not explicitly describe the content parameter or its expected format. The parameter names are simple enough that an agent can infer meaning, but the description adds only partial value.

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 action (add), the object (a note), and the placement (under a given category), which maps directly to the 'category' parameter. It is easy to distinguish from sibling tools like create_category or delete_note_by_text because it specifically targets note creation.

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 gives clear context: use this tool to add a note under a category. The auto-creation sentence provides practical guidance that the agent does not need to call create_category first, though it does not explicitly name alternative tools or state when-not-to-use scenarios.

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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/AdityaTheDev/notemind-mcpserver'

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