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AI Agent Tokenized Stock OS

stocktoken_liquidity_matrix

Liquidity / V3-executable route matrix for major USDG pairs on chain 4663. Use to know which Stock Tokens have live AMM fills.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. The description is simple and implies a read-only lookup, but it does not disclose potential behaviors like caching, latency, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. The key information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should explain what the matrix contains. It only says 'Liquidity / V3-executable route matrix,' which is somewhat vague. The tool's simplicity partially compensates, but a bit more detail would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters, and schema coverage is 100%. The description doesn't need to add parameter information. Baseline 4 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides a liquidity/route matrix for major USDG pairs on chain 4663, with a specific use case: to know which Stock Tokens have live AMM fills. It distinguishes from sibling tools like stocktoken_find_pools or stocktoken_price.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly says 'Use to know which Stock Tokens have live AMM fills,' which gives clear context. However, it does not mention when not to use it or suggest alternatives.

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

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TDQS

C2.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but some pairs (e.g., stocktoken_quote vs stocktoken_simulate, stocktoken_protocols vs stocktoken_find_pools) could cause confusion if descriptions are not read carefully.

Naming Consistency3/5

All tools share the 'stocktoken_' prefix, but the pattern is inconsistent: some use verb_noun (access_activate, execute_plan), others use single verb (get, list, simulate), and some use noun phrases (metrics, liquidity_matrix, morpho_deposit_plan).

Tool Count2/5

37 tools is high for an MCP server, covering access, subscriptions, sessions, tips, and trading. While many are needed for a full on-chain system, the count feels excessive and could be streamlined.

Completeness4/5

The server covers most major operations: listing, pricing, quoting, simulation, execution planning, liquidity, access control, and system management. Minor gaps exist (e.g., no broadcast tool, no explicit cancel/undo), but overall it's comprehensive.

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