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moliver28

anythingllm-mcp

by moliver28

update_workspace

Update workspace settings including name, system prompt, AI temperature, history length, similarity threshold, and top N results. Specify the workspace slug to modify its configuration.

Instructions

Update workspace settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
nameNo
openAiTempNo
openAiHistoryNo
systemPromptNo
similarityThresholdNo
topNNo
Behavior1/5

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

No annotations are provided, and the description fails to disclose any behavioral traits such as side effects, authorization requirements, reversibility of changes, or rate limits. As a mutation tool (update), transparency about these aspects is critical, and the description provides nothing beyond the action verb.

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?

The description is extremely concise (3 words) but at the expense of useful content. It is under-specified rather than efficiently conveying essential information. While brevity is generally positive, here it fails to serve the tool's complexity.

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 tool's complexity (7 parameters, no output schema, no annotations), the description is severely incomplete. It omits any information about return values, error handling, side effects, or parameter constraints, making it inadequate for an agent to use the tool effectively.

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

Parameters1/5

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

The input schema has 0% description coverage for its 7 parameters, and the description does not explain any parameter beyond the schema's type and required status. For example, the meaning of 'openAiTemp', 'similarityThreshold', or 'systemPrompt' is left unstated, requiring the agent to infer from context.

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

Purpose2/5

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

The description 'Update workspace settings' is a near-verbatim restatement of the tool name 'update_workspace', providing no additional specificity. It fails to distinguish the tool from other sibling tools like create_workspace or delete_workspace beyond the verb 'update', and does not elaborate on which settings are affected.

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

Usage Guidelines1/5

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

The description offers no guidance on when to use this tool versus alternatives such as create_workspace, delete_workspace, or get_workspace. There is no mention of prerequisites, conditions, or exclusions, leaving the agent to infer usage context entirely from the tool name.

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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