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strategy_snipe_create

Destructive

Create a snipe/scalping strategy -- dip-buy with a fast take-profit/stop exit.

Flat: buys usd_per_buy when price is entry_dip_pct below the close lookback ticks ago. Holding: exits on a tight take_profit_pct OR stop_loss_pct -- many small round-trips. Runs on a short interval (default 60s) since it reads a per-tick rolling price window that must accumulate lookback + 1 observations before it can enter.

risk / direction params: see strategy_dca_create.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
riskNo
lookbackNo
allow_shortNo
usd_per_buyYes
slippage_bpsNo
source_tokenNoUSDC
target_tokenYes
entry_dip_pctNo
stop_loss_pctNo
direction_modeNo
wallet_addressYes
regime_overrideNo
take_profit_pctNo
interval_secondsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

The description adds behavioral details beyond the annotations: it describes the flat-state logic (buys on dip), the holding-state exits (take profit or stop loss), and the dependency on a rolling price window with a warm-up requirement. This gives meaningful insight into how the strategy executes without contradicting the annotations.

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 two well-structured paragraphs. The first sentence is a high-level summary, followed by concise operational details. Every sentence contributes value, and the reference to another tool avoids redundant documentation.

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?

Given the presence of an output schema and the annotations, the description covers the essential logic and constraints (entry conditions, exit conditions, warm-up period). It doesn't discuss prerequisites like wallet funding or error handling, but the output schema and annotations cover return values and safety. The tool is complex, but the description is sufficient for a competent agent to invoke it correctly.

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?

Even though the schema has 0% description coverage, the text defines the core parameters: usd_per_buy, entry_dip_pct, lookback, take_profit_pct, stop_loss_pct, and interval_seconds. It also points to strategy_dca_create for risk/direction params. This compensates well for the schema gap, though some parameters like slippage_bps and source_token go unexplained.

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 opens with 'Create a snipe/scalping strategy -- dip-buy with a fast take-profit/stop exit,' which clearly identifies the action (create), the resource (strategy), and the specific strategy type (snipe/scalping). It distinguishes itself from sibling strategy creation tools by specifying the dip-buy logic and fast exit approach.

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 states the strategy runs on a short interval and requires the per-tick rolling window to accumulate lookback + 1 observations before entering, giving the agent a concrete condition for use. It also references strategy_dca_create for risk/direction params, guiding the agent on related tools, though it doesn't explicitly list alternatives or when NOT to use this tool.

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.

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