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tugudush
by tugudush

bb_get_workspace

Retrieve details about a Bitbucket workspace. Apply JMESPath filters to extract specific data and select from text, JSON, or toon output formats.

Instructions

Get information about a workspace

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
workspaceYesThe workspace name
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%)
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Get information', implying a read-only operation but does not describe response structure, authentication requirements, or any side effects. The behavioral contract is underspecified.

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

Conciseness3/5

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

The description is a single concise sentence, but it is under-specified. It is not verbose, yet it lacks the detail needed to fully inform the agent, making it minimally acceptable rather than well-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?

The tool has no output schema, so the description should explain what information is returned. It only says 'information' without detailing fields or format. Given the many sibling tools, this lack of specificity reduces completeness.

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?

The input schema has 100% parameter description coverage, so the schema already documents all three parameters. The description adds no extra meaning beyond the schema, meeting the baseline but not exceeding it.

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 uses a clear verb ('Get') and resource ('workspace'), making it distinct from sibling tools focused on other entities like repositories or users. However, it is vague about what specific workspace information is returned (e.g., name, UUID, permissions), so it lacks full specificity.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not state use cases, prerequisites, or exclusions, leaving the agent without contextual direction.

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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