list_products
List all pay-per-call data products on AgentDatum (id, price USD, description). Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all pay-per-call data products on AgentDatum (id, price USD, description). Free.
| 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?
No annotations exist, so the description carries the burden. It discloses that the listing is 'Free' and what fields are returned, which are important behavioral traits. However, it does not mention potential pagination, rate limits, or any response format details beyond field names.
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, front-loaded sentence with no superfluous words. Every element (what, where, fields, free) is purposeful and immediately useful.
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 parameterless list tool with no output schema, the description sufficiently covers what the tool returns and that it is free. It lacks details like ordering or size limits, but these are minor for a catalog listing and do not impede correct use.
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?
There are zero parameters, so the schema already fully communicates the input. The description does not need to add parameter meaning, and it appropriately focuses on the return payload.
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 uses a specific verb 'List' with a clear resource 'all pay-per-call data products on AgentDatum' and explicitly states the output fields (id, price USD, description). This distinguishes it from sibling tools like get_product_info, which likely targets a single product.
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 explicit guidance on when to use this tool versus alternatives. The description does not mention any use cases, exclusions, or relationships to sibling tools, leaving the agent to infer that this is for browsing the catalog.
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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