catalog_overview
A high-level view of the whole catalogue: totals, collections, resolutions, price range, what is available, and how much of it has been measured.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
A high-level view of the whole catalogue: totals, collections, resolutions, price range, what is available, and how much of it has been measured.
| 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?
With no annotations provided, the description carries the burden of behavioral disclosure. It communicates that this is an overview-style read operation ('view') and reveals what data categories are included, such as totals, price range, and measured items. However, it does not explicitly state side-effect safety, return shape, or any limitations beyond being high-level, so it is adequate but not richly transparent.
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?
The description is a single, well-structured sentence that front-loads the core purpose ('high-level view of the whole catalogue') and then efficiently enumerates the included data dimensions. Every part of the sentence provides useful information and there is no filler or redundancy.
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?
This is a simple, parameterless overview tool with no output schema. The description sufficiently explains what the agent will get—totals, collections, resolutions, price range, availability, and measurement progress—so an agent can correctly decide to invoke it and know what to expect. Nothing essential is missing for this level of complexity.
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 has zero parameters and schema coverage is 100%, so the schema already fully describes the parameter surface. The description adds no parameter semantics, but the baseline for a zero-parameter tool is 4, and there is no gap to compensate for.
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 clearly identifies the tool as providing a high-level view of the entire catalogue and lists concrete contents: totals, collections, resolutions, price range, availability, and measurement status. It does not use an explicit verb like 'gets' or 'returns', but the scope and contents are specific enough to distinguish it from collection browsing, searching, ranking, and recommendation siblings.
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?
The description implies this is for an overall catalogue summary but gives no explicit guidance on when to use it versus alternatives like browse_collections or search_artworks. There is no 'use this when' or 'for detailed views use X instead' guidance, leaving the agent to infer the appropriate context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.