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suniljavadi

Data Engineering MCP Server

by suniljavadi

get_job_status

Retrieve the latest execution status for an ETL job to monitor workflow health and identify failures quickly.

Instructions

Return the latest execution status for an ETL job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden. It only says 'Return' which implies read-only, but it does not explicitly state safety, side effects, or any constraints. It also omits any details about the response beyond the existence of an output schema.

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 a single sentence with no fluff, and the core action is front-loaded. However, it is overly terse given the missing behavioral and usage details, though that is a completeness issue rather than a conciseness one.

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?

For a tool with a single parameter, no annotations, and many sibling tools, this description is inadequate. It does not explain when to prefer it, what job_name should contain, or any behavioral caveats. The presence of an output schema covers return values, but that is the only completeness provided.

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?

The input schema has 0% description coverage, and the description only hints that job_name refers to an ETL job. It does not explain the format, expected values, or how to obtain a valid job_name, so it fails to compensate for the missing schema documentation.

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 clearly states the action (return) and the resource (latest execution status for an ETL job). It is distinct from siblings like get_job_logs or get_job_history, but it does not explicitly differentiate itself from them, so it stops short of a 5.

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 use this tool versus alternatives such as get_job_logs or get_job_history. No context is provided about prerequisites or exclusions, leaving the agent to infer usage from the name alone.

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