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job_config

Read-onlyIdempotent

Retrieves the execution configuration for a specified Apache Flink job by job ID, optionally targeting a cluster, to inspect runtime settings and diagnose job behavior.

Instructions

Execution configuration of a job.

Input Schema

NameRequiredDescriptionDefault
job_idYes
clusterNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so safety is covered. The description adds nothing further, such as whether the configuration is static or runtime-derived, whether cluster defaults are merged, or any openWorld caveat about live job state. With the lower bar set by annotations, this is thin but not contradictory.

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

Conciseness2/5

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

The single fragment is short and front-loaded but is under-specification rather than conciseness — it conveys almost no actionable information for a two-parameter tool.

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?

An output schema exists so return values need not be explained, but with 0% parameter coverage and no differentiation from similarly named siblings, an agent lacks enough to invoke this correctly or prefer it over alternatives.

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 description coverage is 0% across two parameters, so the description carries the burden and fails: neither job_id nor the optional cluster parameter is explained. The agent is left to guess whether cluster filters, scopes, or resolves a default.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The phrase "Execution configuration of a job" names the resource but supplies no verb, leaving it ambiguous whether it reads, writes, or describes configuration. It offers no differentiation from sibling tools such as cluster_config or job_details, which an agent could easily confuse it with.

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 tool versus cluster_config or job_details, and no stated preconditions. The agent must infer usage entirely from the name.

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