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get_transaction_history

Read-onlyIdempotent

Recent transactions for a wallet, parsed + human-readable (limit 1-100).

detail="concise" (default) trims each row to signature/type/timestamp/ status (signature is the ID to chain into journal_append's tx_signature); "full" adds description, tokens_involved, token_mints, and amount.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
detailNoconcise
caller_idNo
wallet_addressYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4/5.0
Behavior4/5

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

The annotations already disclose readOnly/OpenWorld/idempotent behavior. The description adds value beyond that by explaining the parsed and human-readable nature of the output, the 1-100 limit, and the difference between concise and full detail levels, including which fields each mode returns.

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?

The description is compact and front-loaded: it states the main action, the limit, and the output format in the first sentence, then elaborates only on the meaningful detail parameter. Every sentence adds relevant information without redundancy.

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

Completeness4/5

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

For a bounded, read-only list query with output schema present, the description covers the important behavior: limit range, response detail levels, and which field serves as the transaction identifier. The only notable gap is caller_id and the exact meaning of 'recent,' but the description is otherwise sufficient for correct invocation.

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?

The input schema has 0% coverage, so the description is the only source of parameter semantics. The description usefully explains the limit range and the behavior of detail, and wallet_address is inferable from the resource phrase. However, caller_id is left unexplained, and the description does not clarify whether it is an optional tracing parameter or affects the query.

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 the tool returns recent wallet transactions, parsed and human-readable. The specific output modes (concise vs full) are described, and the mention of the signature chaining to journal_append helps distinguish its purpose. This is a specific verb + resource description that an agent can act on.

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

Usage Guidelines3/5

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

The description gives clear context — recent wallet transactions — and explains how the signature can be used as an ID for journal_append. However, it does not explicitly suggest when to pick this tool over other transaction-related siblings such as verify_transaction, get_balances, or journal_query, nor does it state when not to use it.

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

B3.2/5.0
Disambiguation2/5

Multiple tools overlap significantly: close_perp_position vs perp_close, get_leaderboard vs get_score_leaderboard vs get_strategy_leaderboard, get_venue_status vs get_all_venues_status, send_token_social vs bulk_send_social, and get_crank_score vs get_score. Several read-only tools have nearly identical purposes, and the descriptions do not always clarify boundaries.

Naming Consistency4/5

Most tools follow a consistent verb_noun snake_case pattern (get_balances, create_strategy, set_alert, list_webhooks). However, there are deviations like 'lst_swap', 'jupiter_swap', 'flash_loan', 'sr_backtest', and the use of both 'get_' and 'list_' for reads, plus category prefixes like 'perp_' and 'strategy_' that vary in order. Overall still readable and predictable.

Tool Count1/5

177 tools is an extreme count for any server, far exceeding the 25+ threshold for 'too many'. Even a full DeFi platform does not need this many separate operations; the surface is overwhelming and clearly not well-scoped.

Completeness3/5

The domain (Solana DeFi trading) is covered extensively across swaps, perps, lending, staking, strategies, signals, and support. However, there are notable gaps: no lend_withdraw, no direct way to close a lending position, no spot order cancellation (though aggregator-based swaps may not need it), and a general lack of tiered account management. The huge number of tools makes it hard to identify missing lifecycle steps.

Resources