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Glama

list_clusters

List available Kafka clusters with reachability and write-acceptance status, checked when called. Use returned names as destination_cluster values for copy_message.

Instructions

List the Kafka clusters this server serves, with whether each is reachable and whether it accepts writes. Connectivity is checked at call time. Use returned names as copy_message destination_cluster values. Broker and credential details are not exposed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
clustersYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations present, the description carries the full burden and does well: it discloses that connectivity is evaluated live at call time (not cached), that write-acceptance is surfaced, and explicitly that broker and credential details are withheld. That is meaningful behavioral context beyond a bare listing.

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?

Four short sentences, each earning its place: purpose, live-check caveat, cross-tool usage, and an explicit non-disclosure boundary. The core purpose is front-loaded in the first clause.

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?

An output schema exists so return values need not be described, yet the description still names the key fields (reachable, accepts writes). For a no-arg read-only listing tool this is essentially complete; only the missing sibling routing keeps it from 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 takes zero parameters, so per the rubric the baseline is 4. There are no argument semantics to add, and the description correctly avoids inventing any.

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?

States a specific verb+resource (list Kafka clusters the server serves) and enriches it with the exact per-cluster attributes returned: reachability and write acceptance. Clear enough to distinguish from active-inspection siblings like cluster_health or compare_clusters, though it never names them.

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?

Provides a concrete downstream usage rule ('use returned names as copy_message destination_cluster values') and a timing note ('connectivity is checked at call time'). However, it never states when to call this vs. cluster_health or compare_clusters, so the when-to-use guidance is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.