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nulab

Backlog MCP Server

get_categories

Retrieves all categories for a Backlog project. Use this to organize and filter issues by category for improved project management.

Instructions

Returns list of categories for a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoThe numeric ID of the project (e.g., 12345)
projectKeyNoThe numeric ID of the project (e.g., 12345)
organizationNoOptional organization name. Use list_organizations to inspect available organizations.
Behavior2/5

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

The description only says 'returns list', implying a read operation, but with no annotations, it fails to disclose any behavioral details such as authentication requirements, side effects, or whether the list includes all categories or depends on other context.

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 a single sentence with no extraneous information. It is appropriately sized for a simple list-returning tool.

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?

Given the tool has no output schema and all parameters are optional, the description should clarify how to properly invoke the tool (e.g., that at least one of projectId or projectKey is typically expected). It does not address this, leaving ambiguity.

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% with descriptions for each parameter. The description adds no further meaning beyond the schema, so a baseline of 3 is appropriate.

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 action (returns) and resource (list of categories for a project). It is specific and distinct from sibling tools, as no other sibling returns categories.

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 is provided on when to use this tool versus alternatives. There is no mention of prerequisites, when-not-to-use, or how the output relates to other tools like get_custom_fields or get_issue_types.

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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