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TokenBank — tokenized real-world assets

compare_assets

Read-onlyIdempotent

Put two or more instruments side by side on the fields that decide between them: yield, risk, minimum, custody, the three KYC gates, target/area, issuer and verification date. Use for "X vs Y" questions instead of calling get_product_details repeatedly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickersYese.g. ["USDY", "OUSG", "BUIDL"]

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
comparedYes
notFoundNo
readThisNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false) already carry the safety profile, so the bar is lower. The description adds genuinely useful operational context: it is a multi-instrument, side-by-side comparison over a defined field set rather than a single-record lookup, which is not derivable from the annotations. It stops short of stating cardinality limits or partial-failure behavior, hence not a 5.

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, front-loaded with the action, then the routing guidance. The field enumeration is long but every item is decision-relevant information, not filler.

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

Completeness5/5

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

With annotations covering safety, 100% schema coverage on the single parameter, and an output schema present, the description need not explain return values or the input format. It supplies the one thing structured data cannot: why and when to choose this over repeat calls to get_product_details.

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

Parameters3/5

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

One parameter with 100% schema description coverage, including a concrete example and min/maxItems constraints (2-6). The description's 'two or more instruments' only echoes what the schema already declares (minItems: 2), so it adds no meaning beyond the schema. Baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb ('put two or more instruments side by side') and resource, and enumerates the exact comparison fields (yield, risk, minimum, custody, KYC gates, target/area, issuer, verification date). It also names the sibling it replaces (get_product_details), so an agent can separate it from the other compare_* tools without opening a schema.

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

Usage Guidelines5/5

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

Explicitly scopes usage to "X vs Y" questions and names the alternative (get_product_details repeatedly) that this tool is meant to supplant. The when-to-use and the reason to prefer it over a sibling are both stated, leaving nothing to inference.

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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