stocktoken_fees
Summarize disclosed AATOS execution fee events and on-chain monetization status (treasury / ETH fees).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Summarize disclosed AATOS execution fee events and on-chain monetization status (treasury / ETH fees).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full responsibility for behavioral disclosure. It clearly implies a read-only, summary operation without side effects. However, it does not explicitly state that no state changes occur or mention any required permissions, which would elevate the score to 5.
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 that is front-loaded with the action verb 'Summarize' and conveys all necessary information without any fluff. Every word 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 no parameters and no output schema, the description is fully complete for an AI agent to understand the tool's purpose. It covers both fee events and monetization status, providing sufficient context to choose this tool over others.
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 input schema has zero parameters, so the description need not explain parameters. Schema coverage is trivially 100%, and the description adds meaning by explaining what the tool summarizes. The baseline for 0-param tools is 4, and this description meets that standard.
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 specifies the action 'Summarize' and the precise resources 'disclosed AATOS execution fee events' and 'on-chain monetization status (treasury / ETH fees)'. It clearly distinguishes from sibling tools like stocktoken_metrics or stocktoken_price, which cover different aspects.
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 does not explicitly state when to use this tool versus alternatives or provide any prerequisites. For a tool with zero parameters, the usage is straightforward, but the lack of guidance on context (e.g., 'use to check fee status') is a minor gap.
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.