Catalog Summary
catalog_summaryReturn top-level Watermelon catalog counts across content types.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
catalog_summaryReturn top-level Watermelon catalog counts across content types.
| 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, so the safety profile is fully covered structurally. The description adds only the aggregation granularity ('top-level ... across content types') and nothing about cost, caching, or result shape, so it adds modest value beyond structured fields.
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. Brief to the point of under-specification, but nothing is wasted.
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 but no output schema, the description should at least sketch the return shape; saying 'counts across content types' hints at it but leaves the exact keys/structure unknown. Adequate but with a clear gap.
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 nothing for the description to disambiguate; the 4 baseline applies. No parameter text is needed or missing.
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?
States a specific verb (Return) and resource (top-level Watermelon catalog counts), and scopes it to counts across content types, which distinguishes it from sibling list_catalog_entries and list_categories. It is clear but does not explicitly name a sibling it replaces.
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?
No indication of when to use this versus list_catalog_entries, list_categories, or search, and no prerequisites or exclusions. Usage must be inferred purely from the word 'counts'.
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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