One-call bundle: peer-reviewed + preprints for a compliance topic. 20 topics available.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | No | dora,mica,aml,amlr,stablecoin,operational_resilience,ai_governance,agent_security,defi_regulation,cbdc,tokenization,cyber_resilience,regtech,suptech,esma,eba,psd2,eidas,gdpr,basel |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the bundle nature and the 20-topic limitation but does not mention return format, error handling, or rate limits, leaving some behavioral aspects undisclosed.
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 extremely concise at one line, with every phrase ('one-call bundle', 'peer-reviewed + preprints', '20 topics available') providing useful context without 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?
For a single-parameter tool with full schema coverage, the description adequately covers purpose and key constraint, though the absence of output schema means return details are unspecified. The simplicity of the tool makes the description sufficient.
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 schema already fully describes the 'topic' parameter with a list of valid values, so the description adds no additional semantic meaning beyond what the schema provides. Baseline 3 is appropriate.
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 provides a combined bundle of peer-reviewed and preprints for compliance topics, distinguishing it from general search siblings like arxiv_search and search_papers. The verb is implicit but the function is unambiguous.
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 when to use it (when you need both peer-reviewed and preprints in one call for a compliance topic) but does not explicitly state when not to use it or how it compares to alternative sibling tools.
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 target distinct resources (papers, authors, citations, DOIs). arxiv_search and search_papers both search for papers, but they are differentiated by corpus (preprints vs all). compliance_research is a convenience wrapper for compliance topics but is still distinct.
Tool names mix noun-noun (author_papers, citation_graph), noun-verb (arxiv_search, doi_lookup), and verb-noun (search_papers) patterns. While each name is readable, there is no consistent verb_noun convention, making it harder to predict tool names.
At 11 tools, the set is well-scoped for a research discovery platform. Each tool covers a necessary aspect: search, metadata, authors, citations, recommendations, trending, and system health.
The surface covers core research workflows: searching, retrieving details, author exploration, citation analysis, recommendations, and trending. Minor gaps exist (e.g., no journal-specific search or batch export), but agents can accomplish typical tasks without dead ends.