Skip to main content
Glama

get_smart_money_flows

One-token flow intelligence snapshot: returns net USD flows and wallet counts for smart traders, whales, exchanges, fresh wallets and public figures together in ONE response. Use for a trailing-window category summary, including the past 24 hours (timeframe=1d). Do not fetch a separate token-flows page for each category to construct this summary. Timeframe is 5m, 1h, 6h, 12h, 1d or 7d. For explicit start/end dates or paginated flow records use get_token_flows. Native ETH is read as WETH; the token must exist on the requested chain.

[Access: pay 0.02 USDC via x402 (PAYMENT-SIGNATURE header) OR authenticate with an API key. An x402-capable client will auto-pay; API-key clients pay nothing per call.]

Input Schema

NameRequiredDescriptionDefault
chainNoChain name or slug, e.g. ethereum or base.ethereum
symbolYesAsset symbol, e.g. BTC or ETH.
timeframeNoAggregation window, e.g. 24h, 7d.1d

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?

With no annotations, the description carries the load and does it well: it discloses pricing/auth paths (0.02 USDC via x402 with PAYMENT-SIGNATURE header, or API key at no per-call cost), the native ETH-as-WETH read behavior, and the constraint that the token must exist on the requested chain. It stops short of stating failure modes or rate limits, so it is not exhaustive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the outcome and the anti-pattern warning before the mechanics; the access/pricing note is separated cleanly. It is dense but nearly every sentence carries an actionable constraint, with only slight redundancy between the one-response claim and the 'don't fetch per category' instruction.

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 3-parameter, no-output-schema read tool, the description covers return content (net flows and wallet counts per category), the aggregation axis, chain/token handling, and payment semantics. Only error behavior and any pagination/limits on the response are unaddressed.

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?

Schema coverage is 100% so the baseline is 3, but the description adds real value by enumerating allowed timeframe values (5m, 1h, 6h, 12h, 1d, 7d) that the schema only gestures at with 'e.g. 24h, 7d'. Note the mild mismatch: the schema example '24h' is not in the description's list, which could confuse an agent.

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 and resource: returns net USD flows and wallet counts across five named wallet categories in a single response. It also distinguishes itself from the similarly named sibling get_token_flows by scope (category summary snapshot vs. individual flow records).

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 says when to use (trailing-window category summary, including past 24h via timeframe=1d), explicitly says what not to do (don't fetch a separate token-flows page per category), and names the alternative for the other case (get_token_flows for explicit start/end dates or paginated records).

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.