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atlassian_convert

Convert JFM markdown to ADF JSON or ADF JSON to JFM markdown. Validates content-model violations during conversion to protect panels, mentions, and layouts.

Instructions

Convert between JFM markdown and ADF JSON. Mirrors omni-dev atlassian convert to-adf / from-adf. direction must be either "to-adf" or "from-adf".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
compactNoWhen `direction = to-adf`, emit compact JSON instead of pretty-printed.
contentYesThe content to convert. For `to-adf` this is JFM markdown; for `from-adf` this is an ADF JSON document.
directionYesDirection of the conversion: `to-adf` (markdown → ADF JSON) or `from-adf` (ADF JSON → markdown).
strip_local_idsNoWhen `direction = from-adf`, strip `localId` attributes from output for better readability.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains the input formats for each direction and the effect of parameters, but does not disclose potential side effects, errors, or whether the operation is idempotent. Basic transparency is achieved.

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?

Three sentences succinctly convey purpose, reference, and constraint without unnecessary detail or repetition.

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

Completeness4/5

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

The tool is simple, but the description omits explicit mention of the return format (ADF JSON or markdown). However, this is implied by the direction. With no output schema, it is adequate but not fully complete.

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

Parameters4/5

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

Schema coverage is 100%, but the description adds value by clarifying the direction parameter's exact allowed values and how 'compact' and 'strip_local_ids' apply conditionally based on direction, going beyond the schema 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 explicitly states 'Convert between JFM markdown and ADF JSON' with a specific verb and resource, clearly distinguishing it from any sibling tools (no other conversion tool present).

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?

It references the CLI command and specifies that direction must be 'to-adf' or 'from-adf', providing clear context. However, it does not explicitly state when not to use the tool or mention alternatives.

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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