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Glama

is_cluster_busy

Check whether the encoding cluster has jobs in progress, so you can decide if new encoding work should wait.

Instructions

Check if the encoding cluster is busy (has jobs in progress)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It clarifies what "busy" means (jobs in progress), which is genuinely useful, but says nothing about the return shape, whether it is a safe read, throttling, or what counts toward "in progress" — a gap for a status-query tool.

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?

A single short sentence, front-loaded with the verb and resource and immediately clarifying the ambiguous term "busy." No waste.

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 zero-parameter read tool this is nearly adequate, but with no output schema the description should state that it returns a boolean/status so the agent knows how to consume the result. That omission is the only real gap.

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 there is no parameter semantics to document; the baseline of 4 applies. The description adds nothing here because nothing is needed.

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?

The description states a specific verb+resource ("Check if the encoding cluster is busy") and defines the term in parentheses ("has jobs in progress"), so the agent knows exactly what is being queried. It is clearly distinct from sibling tools like get_job_by_name or get_latest_jobs, though it does not explicitly name those alternatives.

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?

There is no guidance on when to call this versus checking individual job status via get_job_by_name/get_latest_jobs, nor any stated preconditions. The usage context is only implied by the tool name and purpose.

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