catalog
Free: machine-readable product catalog of agentfeeds.jp (Japan regulatory & market data for AI agents). Factual data only; not investment advice.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Free: machine-readable product catalog of agentfeeds.jp (Japan regulatory & market data for AI agents). Factual data only; not investment advice.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It states that data is factual and not investment advice and that the catalog is machine-readable, but it does not describe output format, update behavior, or access limitations beyond the disclaimer.
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 concise sentence, front-loaded with 'Free' and a clear object. Every word earns its place, and the disclaimer is short but relevant.
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 no-parameter catalog endpoint, the description is adequate but minimal. It clarifies the domain and disclaims investment advice, but it does not describe the catalog's structure, expected response format, or how it relates to the sibling data tools, leaving some operational gaps.
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 the input schema is empty, so the description does not need to explain parameter semantics. The baseline of 4 applies because the schema already fully covers the (empty) parameter set.
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 a machine-readable product catalog for agentfeeds.jp, which distinguishes it from siblings like reg_events or sanctions_check. However, it lacks an explicit action verb (e.g., 'retrieves' or 'lists'), making it slightly less directive.
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 guidance is provided about when to use this tool versus alternatives. The 'Free:' and 'not investment advice' notes are qualifiers, not usage criteria, and there is no mention of appropriate contexts or exclusions.
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.
Most tools are clearly distinct: catalog, terms, regulatory events, and sanctions check each have unique purposes. The two DEX spread tools are similar but differentiated by summary vs. anomaly, though they could cause minor confusion without careful reading.
Tool names mix conventions: 'catalog' and 'reg_events' are noun phrases, 'get_terms' uses a verb, and 'sanctions_check' is a noun phrase with a verb component. All use snake_case, but there is no consistent verb_noun pattern across the set.
Six tools is a well-scoped number for a data-provider server, covering catalog, terms, and several distinct data products without being bloated or thin.
The surface covers the core functionality: discovering data via catalog, understanding terms, accessing regulatory events, DEX summaries/anomalies, and doing sanctions checks. Minor gaps exist (e.g., no tool for raw DEX spread data or detailed event lookup), but the main workflows are supported.