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raqueljezweb

AnythingLLM MCP Server

by raqueljezweb

update_vector_database

Modify vector database settings to change storage providers or adjust configuration parameters for AI data management.

Instructions

Update vector database configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providerYesVector database provider
configYesConfiguration object for the provider
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'update' which implies a mutation operation, but doesn't describe what happens during the update (e.g., whether it overwrites existing configuration, merges with existing settings, or requires specific permissions). No information about side effects, error conditions, or response format is provided.

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 extremely concise at just three words, with zero wasted language. It's front-loaded with the essential information (verb + resource) and contains no unnecessary elaboration.

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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the tool returns, what happens on success/failure, or provide any context about the update operation's scope or limitations. The agent would need to guess about important behavioral aspects.

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?

The schema description coverage is 100%, so the schema already documents both parameters ('provider' and 'config') adequately. The description adds no additional meaning beyond what the schema provides about parameter purpose or usage, meeting the baseline for high schema coverage.

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

Purpose3/5

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

The description states the action ('update') and resource ('vector database configuration'), which gives a basic understanding of purpose. However, it lacks specificity about what aspects of configuration can be updated and doesn't differentiate from sibling tools like 'update_system_settings' or 'update_workspace_settings' that might also involve configuration changes.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions, leaving the agent to infer usage from the tool name alone without any explicit direction.

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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