List Categories
get_categoriesList all user categories.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_categoriesList all user categories.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world behavior, so the safety profile is fully covered. The description adds no behavioral context beyond that — it does not say whether archived/deleted or built-in default categories are included, nor how results are ordered.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler or redundancy. Nothing is wasted, and the key scope qualifier ('all user categories') appears immediately.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-param read tool with rich annotations and no output schema, the description is minimally sufficient to trigger correct invocation. However, it does not describe the returned shape (which category fields come back) or inclusion rules for archived/default categories, which the missing output schema leaves undocumented.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter semantics to document; the baseline for a no-param tool applies. The description's scope word 'user' is the only qualifier and is not developed, but no gap exists in the schema itself.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('List') and resource ('user categories'), which is unambiguous and matches the tool name and title. It does not differentiate from nearby siblings like spending_by_category or create_category, but the read-only list intent is clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied by the verb 'List'; there is no explicit statement of when to prefer this over spending_by_category (which groups spending, not category definitions) or when category creation via create_category is warranted. An agent can infer the intent, but nothing is spelled out.
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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