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tugudush
by tugudush

bb_get_pipeline_step_log

Retrieve build log output for a specific pipeline step in Bitbucket to diagnose build failures.

Instructions

Get the build log output for a specific pipeline step. Useful for diagnosing build failures.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoJMESPath expression to filter/transform structured response data. Applied before format conversion. Example: "values[].{name: full_name, lang: language}" — see https://jmespath.org for syntax
repo_slugYesThe repository name
step_uuidYesThe step UUID (with or without curly braces)
workspaceYesThe workspace or username
output_formatNoResponse format: "text" (default, human-readable), "json" (structured JSON), or "toon" (Token-Oriented Object Notation — compact tabular format that reduces LLM token consumption by 30-60%)
pipeline_uuidYesThe pipeline UUID (with or without curly braces)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states purpose and a use case, but does not disclose output format, size limits, authentication needs, failure behavior, or whether the log is raw text or structured. This is a significant transparency gap.

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 two short sentences with no filler. The main purpose is front-loaded, and the second sentence adds a practical use case. Every word earns its place.

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?

The tool has no output schema and no annotations, yet the description does not explain what the return value looks like or how the output_format parameter affects it. The schema covers all six parameters well, but the description remains thin on response semantics and operational behavior. It is minimally viable but has clear gaps.

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

Parameters3/5

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-specific detail beyond what is already in the schema. The phrase 'for a specific pipeline step' echoes the step_uuid parameter but does not add new semantic value.

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 clearly states the verb 'Get' and the specific resource: 'build log output for a specific pipeline step.' This distinguishes it from siblings like bb_get_pipeline_steps, which lists steps rather than logs. The connection to diagnosing build failures adds practical clarity.

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

Usage Guidelines4/5

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

'Useful for diagnosing build failures' provides a clear when-to-use context. However, it does not explicitly mention alternatives or when not to use this tool, so it stops short of a full usage guideline.

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

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