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read_strategy_list

Read-onlyIdempotent

Get Arcadia LP strategies. Use featured_only=true for curated top strategies (recommended first call). Returns a paginated list with 7d avg APY for each strategy's default range. Increase limit or use offset for pagination. All APY values are decimal fractions (1.0 = 100%, 0.05 = 5%). For full detail on a specific strategy (APY per range width), use read_strategy_info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax strategies to return (default 25)
offsetNoSkip first N strategies for pagination
chain_idNoChain ID: 8453 (Base), 130 (Unichain), 10 (Optimism), or 4663 (Robinhood)
featured_onlyNoReturn only featured/curated strategies (recommended)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYes
totalYes
offsetYes
strategiesYes
context_notesNo

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds meaningful behavioral context: the result is a paginated list, APY is for the strategy's default range, and APY values are decimal fractions rather than percentages.

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?

Four sentences with no filler: purpose, featured-only recommendation, pagination behavior, APY format, and sibling routing. The core purpose is front-loaded and every sentence earns its place.

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?

For a read-only list tool with fully documented optional parameters and an output schema, the description covers everything needed to invoke it correctly: the resource, first-call recommendation, pagination, return-context, and the sibling for deeper detail. Nothing necessary is missing.

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?

Schema coverage is 100% and every parameter already has a description and default, so the schema carries the parameter semantics. The description adds operational guidance like 'featured_only=true ... recommended first call' and pagination tips, but does not materially redefine any parameter's meaning.

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 action ('Get Arcadia LP strategies') and identifies the resource clearly. It also distinguishes itself from read_strategy_info by noting that the sibling provides full per-range detail, so an agent can correctly tell them apart.

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 recommends using featured_only=true for the first call and instructs the agent to increase limit or use offset for pagination. It also names read_strategy_info as the alternative when full APY-per-range detail is needed, making the when-to-use decision clear.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct resource and action, with clear read/write separation and detailed descriptions that specify exact use cases. Overlapping tools like write_account_deposit vs write_account_add_liquidity explicitly cross-reference to avoid misuse, and the asset-manager variants are clearly differentiated by staking/compounding/CowSwap behaviors.

Naming Consistency5/5

All tools follow a consistent read_* / write_* prefix with snake_case resource and action naming. Subgroup patterns are uniform (e.g., write_account_*, write_asset_manager_*), and the only outlier, dev_send, is intentionally marked as a dev-only exception.

Tool Count2/5

Forty tools is a very large surface, well above the typical 3-15 range for a well-scoped server. The seven separate write_asset_manager_* intent tools are highly granular and could likely be consolidated into a single parameterized automation tool, reducing cognitive load.

Completeness5/5

The tool set covers the full Arcadia lifecycle: account creation, collateral deposit/withdrawal, borrowing/repayment, LP add/remove/close, staking, automations, lending pool deposits/redeems, and comprehensive read operations. No obvious workflow dead ends exist, and all necessary supporting reads (prices, allowances, balances) are present.