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Get Project Fields

jira_get_project_fields
Read-only

Retrieve the fields available for issues in a Jira project, deduplicated across issue types. Returns field details including ID, name, required status, schema type, and applicable issue types.

Instructions

Get the fields available on issues of a project (the create schema), deduplicated across the project's issue types — i.e. which fields tickets in this project have, regardless of whether they are filled.

Args: ctx: The FastMCP context. project_key: The project key.

Returns: JSON string with a list of fields: each {field_id, name, required, schema_type, custom, issue_types}. Empty list if none / on error.

Raises: ValueError: If the Jira client is not configured or available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyYesThe project key, e.g. 'PROJ'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint=true. The description adds that fields are deduplicated across issue types, returns empty list on error, and raises ValueError if client not configured, providing useful behavioral context beyond annotations.

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

Conciseness4/5

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

Purpose is front-loaded. The docstring format includes Args/Returns/Raises but is efficient overall. Minor redundancy in repeating parameter description but still concise.

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

Completeness5/5

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

With an output schema present, the description fully explains return format (list of fields with attributes) and error handling (empty list, ValueError), covering all necessary context for an agent.

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 coverage is 100% (one parameter described). The description repeats the parameter detail from the schema (project key with example) without adding significant new semantics, meeting the baseline for high coverage.

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 it retrieves fields available on issues of a project, deduplicated across issue types, distinguishing it from sibling tools like jira_get_create_fields which likely target create screen fields.

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 on when to use this tool vs alternatives like jira_get_create_fields or jira_get_project_issue_types. The description mentions 'create schema' but does not clarify when this tool is preferred over others.

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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