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andreperez

AnythingLLM MCP Server

by andreperez

anythingllm_chat_in_thread

Send a message to a thread in an AnythingLLM workspace. Choose chat mode for ongoing conversation or query mode for direct questions.

Instructions

Send a message within a specific workspace thread.

Args: slug: Workspace slug thread_slug: Thread slug message: Message to send mode: 'chat' or 'query'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNochat
slugYes
messageYes
thread_slugYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations indicate readOnlyHint=false, meaning this is not a read-only operation, but the description provides no additional behavioral context. It does not disclose side effects (e.g., message persistence), authentication needs, or what the response contains. The description is too minimal to inform the agent about the tool's runtime behavior.

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?

The description is concise and front-loaded with the main purpose, followed by a compact Args list. It is efficient with no redundant text. It could be better structured as a proper docstring, but it meets clarity needs without bloat.

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

Completeness2/5

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

The tool sends a message in a thread, but the description omits important contextual details: what the response looks like (output schema exists but is not described), how to obtain valid slugs, and the behavioral difference between 'chat' and 'query' modes. Given the tool's interaction complexity, this is incomplete.

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?

Schema description coverage is 0%, so the description must compensate, but it only provides terse glosses like 'Workspace slug' and 'Thread slug'. The mode parameter is described as "'chat' or 'query'" which merely repeats the enum values without explaining their difference or usage context. This adds little beyond the schema itself.

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 'Send a message within a specific workspace thread', which is a specific verb+resource action. It distinguishes from sibling tools like anythingllm_chat (which likely handles non-thread chat) by explicitly mentioning the thread context.

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

Usage Guidelines3/5

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

Usage is implied through the description: this tool is for thread-scoped chat. However, no explicit guidance is given on when to prefer this over anythingllm_chat or any other alternative. There is no mention of exclusions or conditions.

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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