Skip to main content
Glama
raqueljezweb

AnythingLLM MCP Server

by raqueljezweb

process_document_url

Process documents from URLs to add them to workspaces for analysis and retrieval in AnythingLLM.

Instructions

Process a document from a URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe workspace slug/identifier
urlYesURL of the document to process
Behavior2/5

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

With no annotations, the description carries full burden but only states the action without behavioral details. It doesn't disclose whether this is a read/write operation, permission requirements, side effects, or processing behavior, which is inadequate for a tool with potential implications.

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 a single, efficient sentence with no wasted words. It's appropriately sized and front-loaded, making it easy to parse quickly.

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?

Given no annotations, no output schema, and a vague action like 'process', the description is incomplete. It fails to explain what processing entails, the result format, or behavioral context, leaving significant gaps for agent understanding.

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 100%, so parameters are documented in the schema. The description adds no additional meaning beyond implying 'url' is for a document, which is already clear from schema descriptions. Baseline 3 is appropriate as the schema handles parameter semantics.

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 action ('process') and resource ('document from a URL'), making the purpose understandable. However, it doesn't specify what 'process' entails or differentiate from siblings like 'embed_webpage' or 'delete_document', preventing a perfect score.

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. The description lacks context about prerequisites, appropriate scenarios, or exclusions, leaving the agent without usage direction.

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/raqueljezweb/anythingllm-mcp-server'

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