get_job_log

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool's purpose (retrieving logs for debugging) which implies it's a read-only operation, but doesn't explicitly state whether it requires authentication, has rate limits, or what format the output takes. The description adds some context but leaves important behavioral aspects unspecified.

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

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

The description is perfectly concise with just two sentences that each earn their place. The first sentence states the core functionality, and the second provides valuable context about when to use it. There's no wasted language or unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read operation with no output schema, the description provides adequate but minimal context. It explains what the tool does and when to use it, but doesn't address potential limitations, error conditions, or output format details that would be helpful for an agent to properly invoke and interpret results from this tool.

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

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

The schema description coverage is 100%, with the single parameter 'job_id' well-documented in the schema itself. The description doesn't add any additional parameter information beyond what's already in the schema, so it meets the baseline expectation but doesn't provide extra value regarding parameter usage or constraints.

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

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

The description clearly states the specific action ('Get the trace/log output') and resource ('for a specific pipeline job'), distinguishing it from siblings like get_merge_request_test_report or get_pipeline_test_summary. It provides a concrete use case ('debugging failed tests and understanding CI/CD failures') that makes the purpose immediately understandable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context about when to use this tool ('Perfect for debugging failed tests and understanding CI/CD failures'), which helps the agent understand the appropriate scenarios. However, it doesn't explicitly mention when NOT to use it or name specific alternatives among the sibling tools, which would be needed for a perfect score.

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