get_docs
The complete Agent API manual (markdown): auth, trading, limits, withdrawals, error catalog.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The complete Agent API manual (markdown): auth, trading, limits, withdrawals, error catalog.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It does disclose the return format (markdown) and the topical scope, which is useful. However, it says nothing about size/context cost of pulling a 'complete' manual, whether it is paginated or section-addressable, whether auth is required, or whether the content is versioned — all material for an agent deciding whether to fetch it.
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?
A single sentence, front-loaded with what the resource is, followed by format in parentheses and a compact topic list. No redundancy, no filler, nothing that could be cut without losing 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 zero-parameter, no-output-schema tool, the description covers what it returns and in what format, which is the core need. The remaining gap is scale — an agent has no signal about how large the manual payload is or whether a targeted section can be requested instead of the whole document.
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 takes zero parameters, so the schema has nothing to explain and the baseline of 4 applies. The description adds no misleading parameter hints, consistent with the empty object schema.
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 resource (the complete Agent API manual) and its delivery format (markdown), then enumerates the coverage areas: auth, trading, limits, withdrawals, error catalog. That scope list implicitly separates it from every operational sibling (get_limits, get_account, place_order, etc.), which return live data rather than documentation. It stops just short of an explicit verb like 'retrieves', but an agent can still tell what this returns.
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?
There is no explicit guidance on when to call this versus the many data-returning siblings, no 'call this first' recommendation, and no note on when the manual is unnecessary. Usage is only implied by the content itself — a manual is what an agent consults to learn the API. That implication is strong but not stated.
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.