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get_project_categories

List all distinct project categories currently assigned (e.g. 'Article', 'Grant') to organize projects or reuse existing categories before adding new ones.

Instructions

Return all distinct project categories currently in use.

Lists the user-defined categories (e.g. "Article", "Grant", "Teaching")
that have been assigned to projects, so you can group projects or offer
an existing category before set_project_category invents a new one.

Takes no arguments.

Returns:
    A text line listing the distinct non-empty categories in alphabetical
    order, or a message that none are defined yet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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 discloses that the tool takes no arguments and returns a text line of categories or a message. As a read-only operation, this is sufficient behavioral transparency for a simple tool.

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 concise and well-structured: the first sentence states the core purpose, followed by examples and a reference to the sibling tool, then parameter info and return format. No superfluous content.

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?

The description explains the return format in detail (alphabetical list or 'none defined' message) and references the sibling tool for context. Given the tool's simplicity and the presence of an output schema, this is 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?

The tool has zero parameters, which sets a baseline of 4. The description explicitly states 'Takes no arguments,' adding clarity beyond the empty schema.

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 the tool returns 'all distinct project categories currently in use' and provides examples ('Article', 'Grant', 'Teaching'). It distinguishes itself from the sibling tool 'set_project_category' by noting it helps offer existing categories before inventing new ones.

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?

The description explains when to use the tool (to see existing categories before using 'set_project_category') and implies it's for grouping projects. While it doesn't explicitly list when not to use it, the context is clear.

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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