New Tokens
get_new_tokensMost recently launched pump.fun tokens. Use this to catch launches in their first minutes; for the largest coins by market cap call get_trending_tokens instead.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
get_new_tokensMost recently launched pump.fun tokens. Use this to catch launches in their first minutes; for the largest coins by market cap call get_trending_tokens instead.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds real behavioral context by framing results as time-sensitive first-minutes launches, but says nothing about volatility, ordering, or how many items come back by default. Useful addition, not a rich behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, zero filler. The core purpose is front-loaded and the routing alternative follows immediately, which is the right order for an agent scanning for a tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a read-only listing tool with annotations covering safety and no output schema, the definition supplies purpose, timing rationale, and sibling routing. Only the parameter behavior and result ordering are unaddressed, which is a minor gap at this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the description never mentions the limit parameter, its default of 10, or its 1-50 range. With one undocumented parameter, the description fails to compensate for the schema gap; it inherits none of the burden it should carry.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific resource and scope: 'most recently launched pump.fun tokens'. It also names the sibling it is not (get_trending_tokens), so an agent can distinguish 'newest launches' from 'largest by market cap' without opening either schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives an explicit when-to-use condition ('catch launches in their first minutes') plus the alternative tool and the condition that selects it ('for the largest coins by market cap call get_trending_tokens instead'). This is close to textbook routing guidance.
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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