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moliver28

anythingllm-mcp

by moliver28

create_workspace

Create a new workspace in AnythingLLM by specifying its name and optionally adjusting AI parameters like temperature, conversation history, similarity threshold, and top N retrieval results.

Instructions

Create a new workspace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
slugNo
openAiTempNo
openAiHistoryNo
similarityThresholdNo
topNNo
Behavior2/5

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

No annotations are provided, and the description only states the action. It lacks disclosure of side effects, required permissions, or constraints (e.g., uniqueness of slug). The agent gets no behavioral context beyond the obvious.

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

Conciseness3/5

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

The description is a single, front-loaded sentence. It is brief but underspecified—conciseness at the expense of completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (6 parameters, no output schema), the description is severely incomplete. It omits return value, parameter constraints, and any operational context, leaving the agent with insufficient information.

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

Parameters2/5

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

With 0% schema description coverage, the description should compensate but does not explain any of the 6 parameters (e.g., slug, openAiTemp). The agent cannot infer parameter meaning from the description alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Create' and resource 'workspace', distinguishing it from sibling tools like 'update_workspace' and 'delete_workspace' by the action. However, it does not elaborate on scope or nuances.

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 such as 'update_workspace'. No prerequisites or context provided.

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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