About TradeBasis
tradebasis_aboutWhat TradeBasis is, the problem it solves, what makes it different, and who it's for. Returns static markdown with an as_of date.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
tradebasis_aboutWhat TradeBasis is, the problem it solves, what makes it different, and who it's for. Returns static markdown with an as_of date.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool returns static markdown with an as_of date, which is meaningful behavioral context. Since no annotations are provided, the description carries the burden adequately. It could add more but is sufficient for a simple read-only tool.
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 two concise sentences, front-loaded with the core purpose, and contains no filler or redundant 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, zero-parameter informational tool, the description fully explains what it returns (static markdown) and the content scope (what, problem, differentiation, audience). It is complete enough for an agent to know what to expect, though it could optionally clarify the as_of date further.
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, so the schema is fully covered. The description appropriately does not need to explain parameters; baseline of 4 is justified.
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 what the tool does: it returns static markdown about TradeBasis, including the problem it solves, differentiation, and target audience. This is specific and distinguishes it from siblings like pricing and research library tools.
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?
Usage context is implied (use this for an overview of TradeBasis), but there is no explicit guidance on when to use this tool versus the sibling tools tradebasis_pricing_and_tiers or tradebasis_research_library. No alternatives or exclusions are mentioned.
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.
Each tool has a clearly distinct purpose: one provides general info about TradeBasis, one details subscription tiers, and one retrieves research briefs. There is no overlap or ambiguity.
All tool names follow a consistent pattern: the prefix 'tradbasis_' followed by a descriptive noun phrase (about, pricing_and_tiers, research_library). No mixing of conventions.
With 3 tools, the server is slightly minimal but still reasonable for an informational surface. Each tool has a clear role, and the count feels appropriate for the scope of providing static content.
The tool set covers the core informational needs (about, pricing, research) for the TradeBasis service. Some minor gaps exist (e.g., no FAQ or contact tool), but it is largely complete for its stated purpose.