make_quant_research_checklist

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations present, the description does carry real behavioral weight: it discloses that nothing is fetched over the network and that copyrighted source text must not be pasted, which is important safety context. It does not disclose the response format (markdown? JSON?), what happens when original_user_notes is empty, or whether the output is deterministic.

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?

Three short sentences, front-loaded with the core action and the source constraint. The copyright/remote-fetch warning is slightly redundant with the naming of SSRN/Elsevier, but every line is on-topic with no filler.

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 two-parameter, non-destructive generation tool with no output schema and no annotations, the description covers purpose and provenance but leaves the return value entirely unexplained. Since no output schema exists, the description should have indicated what the produced template contains or how it is formatted.

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?

Schema coverage is 0%, so the description must compensate. It adds genuine meaning for original_user_notes by stating the provenance constraint (user's own notes only, no SSRN/Elsevier text), but says nothing about paper_title, which is the sole required parameter, or that notes are optional with a default of "".

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 names a specific verb and artifact ("Create a quant-paper review template") and pins the input source to the user's own notes, which separates it from retrieval siblings like search_papers or get_paper_by_doi. The only ambiguity is that the tool name says "checklist" while the description says "review template," leaving the exact artifact shape slightly fuzzy.

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?

Constraints imply routing ("No paper or remote URL is fetched by this tool"), so an agent can infer that paper retrieval belongs to the sibling tools. However, it never explicitly says "use search_papers/get_paper_by_doi first, then call this" or states prerequisites such as needing notes in hand before invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.