Skip to main content
Glama
andreperez

AnythingLLM MCP Server

by andreperez

anythingllm_create_workspace

Create a new workspace to organize projects and conversations. Provide a name to set up an isolated environment for AI interactions.

Instructions

Create a new workspace.

Args: name: Name for the new workspace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

Annotations are all false and provide no safety or behavioral signal. The description only restates the action and offers no detail about idempotency, uniqueness constraints, side effects, or what happens on error. This is essentially a tautology of the tool name.

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?

The description is very short and front-loaded, with no filler. The two-line docstring format efficiently conveys purpose and the single parameter.

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 a one-parameter create operation with an output schema, it covers the essential input adequately. However, the lack of behavioral detail, such as name uniqueness or error conditions, leaves gaps in understanding, especially given the total absence of annotation support.

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 must clarify parameters. It lists 'name: Name for the new workspace', which adds minimal context beyond the schema's title 'Name', but does not explain format, uniqueness, or other constraints.

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 'Create a new workspace' with a specific verb and resource. This distinguishes it from sibling tools like update_workspace, delete_workspace, and list_workspaces.

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 is provided on when to use this tool versus alternatives. It does not mention prerequisites, limitations, or cases where creation may fail, so the agent gets no context for choosing this tool.

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/andreperez/anythingllm-mcp'

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