Skip to main content
Glama

Trenches Check (Vet One Token)

trenches_check

Before you ape, run the check: pass a token mint and get a HIGH_CONFLUENCE / MODERATE / SINGLE_SIGNAL / NO_SIGNAL verdict with reasoning. Runs on-chain velocity (runner stage + score), proven-winner wallet buys, and agent attention against that specific token. Pairs with due_diligence (structural safety) for a full pre-entry read. NFA.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintYesToken mint address to check

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the internal signals (on-chain velocity, proven-winner wallet buys, agent attention) and the verdict scale. It doesn't explicitly state whether the operation is read-only or mention rate limits/errors, but for a check tool the lack of side-effect disclosure is acceptable. The 'NFA' disclaimer adds context.

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: the first sentence sets context and outcome, the second lists the data sources, and the third references a partner tool. Every sentence earns its place, with no filler. 'NFA' is a meaningful caveat in crypto contexts.

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 tool with one parameter, no output schema, and no annotations, the description covers all essential aspects: input, output (verdict categories), reasoning, and the specific signals examined. It even names a complementary tool for a fuller analysis. Enough to invoke correctly without missing critical info.

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% with a single 'mint' parameter described as 'Token mint address to check'. The description adds no further parameter details beyond restating the mint input, so it meets the baseline of 3 without adding extra semantic value beyond the schema.

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 identifies the verb ('check'), the resource (a token mint), and the output (a verdict with reasoning). It distinguishes itself from siblings by naming its specific signals (on-chain velocity, proven-winner wallet buys, agent attention) and explicitly says it 'Pairs with due_diligence (structural safety)', which differentiates it from that sibling.

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?

The description explicitly states when to use it ('Before you ape') and that it targets 'that specific token'. It also names a complementary/alternative tool, due_diligence, for structural safety, giving clear usage guidance and excluding general scans or multi-token contexts.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation3/5

With 32 tools, several have overlapping purposes, such as wallet_history vs portfolio_history (both track wallet portfolio over time) and smart_money_flow vs smart_money_trenches (both follow smart money movements). However, most tools have clearly distinct scopes, and detailed descriptions help differentiate them.

Naming Consistency5/5

All tool names follow snake_case with a predictable verb_noun or noun phrase pattern (e.g., enrich_token, compare_wallets, perps_market_trend). The consistent structure makes the set easy to navigate, even the 'perps_' prefix group is uniform.

Tool Count2/5

32 tools is well above the 25-tool threshold, making the surface feel heavy. While the breadth reflects the wide domain of Solana analytics, the sheer number can overwhelm agents and increase the chance of selecting the wrong tool.

Completeness4/5

The tool set covers most aspects of Solana token/wallet/perp analysis, including enrichment, comparison, trend tracking, smart money flows, and perp market structure. Minor gaps exist, such as no direct historical OHLCV endpoint, but the existing tools handle core workflows well.