stocktoken_tip_presets
List optional tip presets (ETH) and what assets the tip wallet accepts (ETH, any ERC-20 on 4663, optional native BTC). Tips never required.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List optional tip presets (ETH) and what assets the tip wallet accepts (ETH, any ERC-20 on 4663, optional native BTC). Tips never required.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It mentions 'Tips never required', which is a useful behavioral note. However, it does not disclose side effects (none for a list operation), permissions needed, or rate limits. For a simple read-only tool, this is adequate but not fully transparent.
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?
Two sentences, front-loaded with verb 'List', no wasted words. Every sentence adds value: lists presets, lists accepted asset types, and notes tips are never required.
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 no output schema, the description explains the output includes tip presets and accepted assets, specifying ETH, ERC-20 on chain 4663, and optional native BTC. It does not detail the format or structure, but for a simple list tool, this is reasonably complete.
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?
Input schema has 0 parameters, so baseline is 4 per rules. Description adds no parameter info (not needed), and it adds meaning about the output (the list includes presets and accepted assets). Schema coverage is 100% trivially.
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?
Description clearly states the tool lists optional tip presets (specifically ETH) and the assets the tip wallet accepts (ETH, ERC-20 on chain 4663, optional native BTC). The verb 'list' and resource 'tip presets and accepted assets' are specific. It distinguishes from sibling tools like stocktoken_tip_assets and stocktoken_tip_plan by focusing on presets and accepted asset types together.
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?
No explicit guidance on when to use this tool versus alternatives such as stocktoken_tip_assets or stocktoken_tip_plan. The description implies it is for viewing presets and accepted assets, but does not state when not to use it or what other tools cover different aspects.
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.
All tools have clearly distinct purposes, covering access management, token queries, trading, sessions, subscriptions, tips, and system operations. No two tools appear to do the same thing; even related tools like deposit/withdraw plans are differentiated.
All tools follow a consistent 'stocktoken_' prefix with lowercase underscore-separated names. The pattern is uniform (e.g., verb_noun or single noun), with no mixing of camelCase or other styles.
37 tools is high for an MCP server but each tool addresses a specific function within a complex domain (tokenized stock OS, on-chain payments, subscriptions, etc.). The count is justified, though slightly beyond typical scoping.
The tool surface covers all major aspects: access lifecycle, token metadata, trading (simulate, quote, execute plan), sessions, subscriptions, tips, policies, liquidity, and system status. No obvious gaps exist for the stated domain.