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Solana: getPumpFunTokens

getPumpFunTokens
Read-onlyIdempotent

Retrieve PumpFun tokens filtered by type (newly created, about to graduate, graduated) with customizable criteria like market cap, volume, holder count, and developer holdings.

Instructions

Query PumpFun tokens (new, graduating, graduated)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesType of tokens to query
orderByNoOrder by
chainNosol
contextNomeme
limitNo
marketCap_gteNomarket cap greater than value
marketCap_lteNomarket cap less than {value}
liquidUsd_gteNo
liquidUsd_lteNo
volume_gteNovolume greater than value
volume_lteNovolume less than value
devHoldPercent_gteNodev hold percent greater than value
devHoldPercent_lteNodev hold percent less than value
insiderHoldPercent_gteNo
insiderHoldPercent_lteNo
holderCount_gteNo
holderCount_lteNo
buyCount_gteNo
buyCount_lteNo
sellCount_gteNo
sellCount_lteNo
tradeCount_gteNo
tradeCount_lteNo
sniperWalletCount_gteNo
sniperWalletCount_lteNo
Behavior2/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds no additional behavioral context such as rate limits, pagination behavior, or data freshness.

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, concise sentence that immediately conveys the core action and central filtering dimension. It is well front-loaded and contains no superfluous words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 25 parameters and no output schema, the description is far too sparse. It only mentions the 'type' dimension, ignoring all other filtering capabilities and expected return data, leaving the agent underinformed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 25 parameters with only 32% description coverage. The description does not mention any parameter details, failing to compensate for the low schema coverage. It adds no meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Query' and the resource 'PumpFun tokens', and specifies the categories (new, graduating, graduated). It effectively communicates what the tool does, though it does not distinguish from sibling tools like baseFindClankerTokens or bscfindMemeCoinsViaFourMeme.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, no exclusions, and no context on prerequisites or typical use cases.

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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