Skip to main content
Glama

upstash_kafka_produce

Send JSON messages to an Upstash Kafka topic using API credentials and cluster ID.

Instructions

Produce messages to an Upstash Kafka topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYes
emailYes
cluster_idYes
topicYes
messagesYesJSON array of message objects [{value: '...'}]
Behavior2/5

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

With no annotations, the description carries the full burden but only states 'Produce messages', omitting critical behavioral traits such as idempotency, error handling, authentication requirements (implied by api_key), or impact on existing messages.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but too sparse. It lacks any structural elements like sections or examples that would aid an AI agent.

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 5 required parameters and no output schema, the description fails to explain how to obtain critical inputs (e.g., api_key, cluster_id) or what the tool returns on success or failure. The tool is under-specified for its complexity.

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 coverage is only 20%; only the 'messages' parameter has an inline description. The other four required parameters (api_key, email, cluster_id, topic) lack explanation of their purpose or format beyond the schema.

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 uses a specific verb 'Produce messages' and identifies the resource 'Upstash Kafka topic', clearly distinguishing this tool from siblings like 'upstash_kafka_list_topics' which lists topics.

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. It does not mention contexts like prerequisites, batching, or when to avoid producing messages.

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/malamutemayhem/unclick'

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