sanction_watch_recent_changes
Recent appearance / lift events across all sanctions since the given ISO8601 timestamp. Each item includes firstSeenAt and ledgerVerified.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| since | Yes | ||
| regulator | No |
Recent appearance / lift events across all sanctions since the given ISO8601 timestamp. Each item includes firstSeenAt and ledgerVerified.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| since | Yes | ||
| regulator | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description mentions what each item includes (firstSeenAt, ledgerVerified), giving some insight into the output. However, with no annotations, it fails to disclose behaviors like pagination, rate limits, or read-only nature. It is adequate but not comprehensive.
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?
Two concise sentences: first states the action and scope, second adds output details. No wasted words, well-structured.
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?
Given 3 parameters and no output schema, the description is too brief. It omits parameter purposes, output structure beyond two fields, and any usage context. For a tool of this complexity, more detail is needed.
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 input schema has 0% description coverage. The description only implicitly references the 'since' parameter by mentioning ISO8601 timestamp. It does not explain 'limit' or 'regulator', leaving the agent to infer from names. This adds little beyond schema.
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 states the tool returns recent appearance/lift events across all sanctions since a given timestamp. It specifies the resource (sanctions) and the action (listing recent changes), which distinguishes it from sibling tools like sanction_watch_search or sanction_watch_get.
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 vs alternatives like sanction_watch_search. The description implies it's for recent changes but does not provide when-not or list alternative tools for 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.
Most tools are clearly distinguished by domain prefixes (e.g., bid_watch, grant_watch) and specific action verbs. However, the high number of similarly structured watch tools could still cause confusion, though descriptions clarify exact purposes.
Every tool follows a consistent `domain_subdomain_action` pattern with underscores, e.g., `agent_audit_query`, `bid_watch_search`. Even long names like `commerce_catalog_agent_readiness_score` adhere to this structure.
With 147 tools, the server is far too broad, covering weather, carbon estimates, domain intel, and more—well beyond its stated 'Japan public-data ledgers' scope. This sheer volume overwhelms agents and dilutes focus.
The server offers many read-only tools for Japanese public data (bids, grants, licenses, etc.), but lacks create/update/delete operations for those domains. Additionally, numerous unrelated tools (e.g., carbon estimates, weather) feel tacked on, leaving gaps in core coverage.