Verify the hash-chain integrity of a pharma record (tamper detection). Returns chainValid, brokenAt (if any), checked event count, firstSeenAt and ledgerVerified.
| Name | Required | Description | Default |
|---|---|---|---|
| itemId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Since no annotations are provided, the description carries full burden for behavioral disclosure. It explicitly lists return fields (chainValid, brokenAt, checked event count, firstSeenAt, ledgerVerified), giving clear output expectations. However, it does not confirm non-destructive behavior or mention any side effects, authentication needs, or rate limits.
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 concise with two sentences: one stating the primary action and purpose, the other listing return fields. Every sentence adds value, and there is no extraneous information.
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 simple verification tool with one parameter and no output schema, the description covers the core purpose and return values adequately. However, it omits parameter details and usage context, which slightly reduces completeness relative to the tool's simplicity and the presence of many similar siblings.
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?
With schema description coverage at 0%, the description must add parameter meaning. It does not describe the lone parameter 'itemId' beyond the schema type. Although the tool name and description imply it is the pharma record identifier, no explicit clarification is given, which is a notable gap.
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 verifies hash-chain integrity for tamper detection on a pharma record, using a specific verb 'verify' and a specific resource. The 'pharma_' prefix distinguishes it from other domain-specific verify_ledger siblings like bid_watch_verify_ledger or grant_watch_verify_ledger.
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. While the name implies verification, there is no mention of prerequisites, exclusions, or conditions for use. The context among siblings like pharma_watch_get or pharma_watch_search is not addressed, leaving the agent to infer usage from the name.
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.