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list_project_fields

The columns a project keeps about its issues: name, kind, and a list's options with their colours. Also the customfield_… name each one answers to, for searching by JQL. Any member may read them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectKeyYesProject key, e.g. 'CRM'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It explicitly states that the operation is read-only and accessible to any member, which is important safety context. It also describes the returned content in useful detail, including the customfield_ suffix for JQL search, but stops short of defining pagination, ordering, or error behavior.

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 compact and front-loaded, explaining the core subject in the first clause, then adding precise details about field kinds, colours, and JQL relevance. Every sentence contributes meaningful information and there is no filler 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?

For a read-only, one-parameter tool with no output schema or annotations, this description covers the key aspects: what the tool returns, the JQL connection, and the access model. It does not explicitly describe the list/array return shape, but that is reasonably inferable from the tool name and phrasing. Missing guidance on alternatives is the main gap.

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 schema has 100% description coverage for the single parameter projectKey, so the baseline of 3 applies. The description adds project context and mentions customfield naming, but it does not elaborate on the value format or relationship of projectKey to the returned fields beyond what the schema already states.

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 states that the tool surfaces the columns a project keeps about its issuesholistically covering name, kind, list options, and customfield names. The final sentence, 'Any member may read them,' makes the read operation explicit and distinguishes it from sibling mutation tools like set_project_field and delete_project_field. It lacks a crisp imperative verb like 'List', but the intent is unambiguous.

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?

There is no guidance on when to prefer this tool over alternatives such as set_project_field or delete_project_field. The permission note 'Any member may read them' implies general convenience, but no explicit when-to-use or when-not-to-use conditions are provided. Agents must infer usage context from the tool name and sibling list.

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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