get_research_readinessReturn the current research, validation, data-quality and operator-review boundary without commercial claims.
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Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, covering safety. The description adds that the returned data is 'current' and excludes commercial claims, providing useful behavioral nuance beyond the annotations. No contradictions.
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 sentence with no wasted words. It is front-loaded with the main action and clearly states the resource and exclusions. Every sentence earns its place.
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 the tool has no parameters, an output schema exists (though not shown), and the description mentions four components of the boundary. However, the term 'boundary' remains vague and could benefit from elaboration on what it specifically represents (e.g., thresholds, flags). Completeness is adequate but not fully transparent.
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 100% schema coverage. With no parameters, the baseline is 4, and the description does not need to add parameter information. It correctly focuses on the returned resource.
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 the specific verb 'return' and identifies a clear resource ('current research, validation, data-quality and operator-review boundary'). It also explicitly excludes commercial claims, which helps differentiate from siblings like get_data_quality. However, the term 'boundary' is somewhat abstract and could be more concrete.
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 provides no explicit guidance on when to use this tool versus alternatives like get_data_quality or get_confluence_methodology. Usage context is only implied by the description's focus on a combined boundary, but no direct comparisons or exclusion criteria are given.
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 have distinct purposes, but there is potential confusion between get_confluence_signals and get_signal_history (both dealing with signals) and between get_fund and get_stock (both about holdings). Descriptions help clarify, but minor overlap remains.
All tool names follow a consistent verb_noun pattern (e.g., get_fund, list_funds, preview_watchlist) and use snake_case throughout, making them predictable and easy to understand.
With 13 tools, the server is well-scoped for its domain of 13F filings and research. Each tool serves a clear function, and the count is neither too sparse nor overwhelming.
The tool set covers key operations like listing funds, getting holdings, signal history, and quality warnings. However, it lacks a tool for searching tickers or funds by name, which could be a minor gap for some use cases.