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DezGDNY

anythingllm-mcp

by DezGDNY

Check AnythingLLM auth

check_auth

Verify that the configured API key can reach AnythingLLM and get a clear success or failure result for authentication.

Instructions

Verify the configured API key can reach AnythingLLM. Returns whether authentication succeeded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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 the tool tests connectivity and authentication, and that it returns whether authentication succeeded. It does not mention side effects (none expected), error behavior, or rate limits, but for a zero-parameter read-only check this is largely adequate.

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?

Two sentences with no filler. The main action is front-loaded, and the return value is stated. Every word earns its place.

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

Completeness4/5

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

For a simple auth check with no parameters and no output schema, the description is sufficiently complete: it explains the purpose and the return semantics. It does not specify the exact return format (e.g., boolean vs. message), but 'whether authentication succeeded' implies a boolean. A brief note on when to use it would push this to a 5.

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

Parameters4/5

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

The tool has zero parameters and the schema coverage is 100% (empty schema). Per the baseline for 0-parameter tools, a score of 4 is appropriate. The description adds nothing about parameters because there are none to document.

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 the tool verifies the configured API key can reach AnythingLLM and returns whether authentication succeeded. This distinguishes it from the sibling data-operation tools, which work with workspaces and documents. The verb 'verify' plus the specific resource makes the purpose unambiguous.

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?

The description implies this is a preflight check for authentication, but it does not explicitly say when to use it or how it relates to the sibling tools. There is no guidance like 'run this before calling query_workspace' or 'use when you encounter auth errors.' The context is clear enough, but explicit instructions are missing.

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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