Agent Einstein — Crypto & Market Intelligence

Launchpad Scanner

scan_launchpads

Read-onlyIdempotent

New and trending token launches: Pump.fun (Solana), Zora (Base), or the Robinhood Chain market catalog. [Paid: $0.25–$0.40 per call from your Einstein credit balance. Free alternatives exist for several of these — see list_einstein_capabilities.]

Input Schema

TableJSON Schema

Name	Required	Description	Default
`limit`	No	Maximum results (1-100).
`venue`	No	Which launch venue to scan.	pumpfun
`timeframe`	No	Lookback window.	24h

Output Schema

TableJSON Schema

Name	Required	Description
`skill`	No	Which Einstein capability answered. These tools route onto one of many skills by an enum argument, so this names the branch that actually ran.
`reason`	No	Why there is no analysis, when `available` is false.
`analysis`	No	The written answer, identical to the result's text block. This is the field to read: the rest of the payload is whichever capability answered, and its shape varies by tool and by argument.
`available`	No	True when the analysis ran. False when it did not — no capability matched the arguments, the caller is out of credit, billing was unavailable, or the skill produced nothing. NOT a statement about the market.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 4, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "properties": {
+    "analysis": {
+      "description": "The written answer, identical to the result's text block. This is the field to read: the rest of the payload is whichever capability answered, and its shape varies by tool and by argument.",
+      "type": "string"
+    },
+    "available": {
+      "description": "True when the analysis ran. False when it did not — no capability matched the arguments, the caller is out of credit, billing was unavailable, or the skill produced nothing. NOT a statement about the market.",
+      "type": "boolean"
+    },
+    "reason": {
+      "description": "Why there is no analysis, when `available` is false.",
+      "type": "string"
+    },
+    "skill": {
+      "description": "Which Einstein capability answered. These tools route onto one of many skills by an enum argument, so this names the branch that actually ran.",
+      "type": "string"
+    }
+  },
+  "type": "object"
+}

AddedAug 17, 2026

TDQS

A4.2/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, covering the main behavioral aspects. The description adds the paid nature and existence of free alternatives, which is useful context but does not significantly extend beyond the annotations regarding execution behavior.

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 a single, clear sentence that conveys the core purpose and includes the paid note and free alternatives. It is well-structured and free of unnecessary verbosity.

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?

The description mentions the target venues, the paid nature, and alternatives, while the output schema presumably details the return format. It does not cover edge cases like rate limits or error handling, but for a tool of this simplicity, the provided information is adequate for a user to decide when to invoke it.

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 descriptions cover all three parameters (limit, venue, timeframe) with clear meanings and enum values for venue and timeframe. The description does not add extra semantics, but the schema itself is sufficiently informative, warranting a score above baseline.

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's function as scanning for new and trending token launches, specifies the supported venues (Pump.fun, Zora, Robinhood Chain), and distinguishes it from other launch-related tools by focusing on 'new and trending' rather than radar or market scans. The verb 'scan' and resource 'launchpads' are explicit.

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 mentions that the tool is paid and that free alternatives exist via list_einstein_capabilities, which provides some context. However, it does not explicitly state when to use this tool over sibling tools like get_launchpad_radar or scan_market, leaving the choice somewhat ambiguous.

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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