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find_tokens

Read-only

Retrieve recently analyzed tokens with risk verdicts, filter by time, market cap, and platform, and rank locally before paying for detailed reports.

Instructions

[$0.005] Recently analysed tokens, each already carrying a verdict, to rank locally before paying for depth. Filters: hours (1-168), min_mcap, platform, limit (1-100). A time-ordered feed with no query; to find a token you know by name or mint, use search_tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursNoHours back, 1-168. Default 24.
limitNoRows, 1-100. Default 25.
min_mcapNoMinimum market cap, USD.
platformNoLaunchpad, e.g. pumpfun or letsbonk.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
saysNoThe finding in one plain sentence, safe to quote.
_metaNo
countNo
tokensNo
filtersNoThe filters actually applied, echoed back — a caller should not have to guess whether a...
Behavior5/5

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

Annotations already indicate read-only, but description adds cost information ([$0.005]) and clarifies it's a time-ordered feed with no query, providing additional transparency beyond 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?

Two concise sentences that front-load purpose and include cost, filters, and alternative tool. Well-structured and no fluff.

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?

Given the tool's complexity and sibling tools, the description provides enough context: what it returns, when to use it, and when not to. Output schema exists, so no need to explain return values.

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 provides full descriptions for each parameter. Description repeats them but adds context that these are filters, not search terms, which enhances understanding.

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 it lists recently analyzed tokens with verdicts for local ranking, and distinguishes from search_tokens. It specifies a verb and resource.

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 states when to use this tool (for ranking locally before paying for depth) and when to use search_tokens instead (when you know name or mint).

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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