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suniljavadi

Data Engineering MCP Server

by suniljavadi

get_job_logs

Retrieve structured ETL job logs with optional filtering by run ID and severity to troubleshoot data pipeline failures.

Instructions

Return bounded structured logs for an ETL job execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
run_idNo
job_nameYes
severityNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions 'bounded' but does not explain default limit behavior, ordering, whether all runs are included if run_id is null, or the output format beyond 'structured'. The lack of pagination or filter details leaves significant ambiguity.

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?

The description is a single, front-loaded sentence with no fluff. It efficiently conveys the core purpose without repetition, making it appropriately sized and structured.

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?

While an output schema exists (reducing the need to explain return values), the description still omits critical usage context: how to filter by run or severity, the effect of the limit, or how this differs from job history. The tool's utility is compromised without these details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not mention any of the four parameters (job_name, run_id, limit, severity) or their meanings. The agent must infer everything from the schema, which lacks descriptions.

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 states a specific verb ('Return') and resource ('bounded structured logs') tied to 'ETL job execution', clearly distinguishing it from sibling tools like get_job_status or get_job_history. The qualifiers 'bounded' and 'structured' add precision.

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 given on when to use this tool versus siblings such as get_job_history or analyze_job_failure. There is no mention of scenarios where logs are needed versus status or history, nor any exclusions.

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