Skip to main content
Glama

memory_create_todo

Create a task memory with configurable status, priority, and category. Automatically tagged as 'todos' for easy retrieval.

Instructions

Create a new TODO/task memory.

Args: content: Description of the task status: Task status - "open" (default) or "closed" closed_reason: If closed, the reason - "complete" or "not_planned" priority: Task priority - "high", "medium" (default), "low" category: Task category (e.g., "cloud-backend", "graph-visualization", "docs")

Returns: Created TODO memory with auto-assigned tag "memora/todos"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
statusNoopen
closed_reasonNo
priorityNomedium
categoryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations exist, so description carries disclosure burden. It mentions auto-tagging and return behavior, but omits side effects (e.g., idempotency, permissions, limits). Adequate but has gaps.

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?

Structured as a clear docstring with section headers. The content is efficient but slightly verbose (e.g., 'Args:' lines are functional). Overall good readability.

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?

Explains all parameters, return value, and auto-tagging. With an output schema present, it doesn't need to detail returns. Lacks only broader context (e.g., relationship to other tools), but nearly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description provides all parameter semantics: content, status, closed_reason, priority, category with defaults and examples. Adds high value beyond the bare 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?

Clearly states 'Create a new TODO/task memory,' specifying a distinct resource type (TODO) that differentiates it from sibling tools like memory_create (generic) and memory_create_issue.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like memory_create or memory_create_issue. The description lacks explicit context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/agentic-box/memora'

If you have feedback or need assistance with the MCP directory API, please join our Discord server