Skip to main content
Glama

Solana: getPumpFunTokens

getPumpFunTokens
Read-onlyIdempotent

Query PumpFun tokens by status: newly created, about to graduate, or graduated. Filter by market cap, volume, holders, and more.

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 provide safety cues (readOnlyHint=true, idempotentHint=true). The description adds only the token categories, which are in the schema enum, and does not disclose response format, pagination, or other behaviors.

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?

Single short sentence with no wasted words. Front-loaded with the main purpose.

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

Completeness1/5

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

Despite high tool complexity (25 parameters, no output schema), the description provides insufficient context. It does not explain usage, filtering, or return values, leaving the agent underinformed.

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

Parameters1/5

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

Schema description coverage is 32% (low), yet the description adds no parameter explanations. For 25 parameters, the description should compensate, but it does not.

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?

Clearly states 'Query PumpFun tokens' with three categories, fulfilling verb+resource. However, it does not differentiate from sibling tools like birdeyeTrendingTokens or findSolanaGems, which also query tokens.

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?

No guidance on when to use this tool versus alternatives such as baseFindClankerTokens or findSolanaGems. The description lacks usage context or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/EmblemCompany/Agent-skills'

If you have feedback or need assistance with the MCP directory API, please join our Discord server