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Glama

authenticated-llm-agent

Server Details

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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Tool DescriptionsA

Average 3.6/5 across 1 of 1 tools scored.

Server CoherenceA
Disambiguation5/5

Only one tool exists, so there is no ambiguity or risk of misselection between tools.

Naming Consistency5/5

With a single tool, naming consistency is inherently perfect as there are no other names to compare or contrast.

Tool Count3/5

A single tool for authentication and LLM generation is borderline; it covers the core functionality but feels thin for a typical gateway service.

Completeness3/5

The tool combines authentication and LLM completion, but lacks separate management capabilities (e.g., user registration, model selection), leaving some gaps in a full lifecycle.

Available Tools

1 tool
invokeAInspect

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion. Unauthenticated calls are rejected.

ParametersJSON Schema
NameRequiredDescriptionDefault
inputYesJSON request for this capability (the same body you'd send as an A2A message).
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses authentication and completion behavior, but does not detail error handling, rate limits, or success response format, leaving gaps in transparency.

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 with two sentences, but the first sentence uses jargon ('JWT-gated LLM gateway') that may not be immediately clear. Nonetheless, it is front-loaded and efficient.

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

Completeness3/5

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

For a simple gateway with one parameter and no output schema, the description is adequate but incomplete—it does not explain what the input JSON should contain beyond referencing an A2A message, which may be unfamiliar to the agent.

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 single parameter 'input' is fully described in the schema (100% coverage). The description adds no additional meaning beyond the schema's mention of an 'A2A message', so it meets the baseline but does not enhance understanding.

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's purpose: a JWT-gated LLM gateway that authenticates and runs a Gemini completion. It uses specific verbs ('authenticate', 'run') and identifies the resource ('LangChain-on-Vertex Gemini completion'). The scope is well-defined.

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 usage context (must be authenticated) and states that unauthenticated calls are rejected, but lacks explicit guidance on when to use this tool vs alternatives or prerequisites like obtaining a JWT.

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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