Trending Tokens
get_trending_tokensTop pump.fun tokens by market cap.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
get_trending_tokensTop pump.fun tokens by market cap.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the behavioral detail that results are sorted by market cap, which is useful, but it does not explain volatility, ranking recency, or any other operational behavior.
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?
The description is a single, focused sentence with no filler. It immediately states the resource and ranking criterion, which is appropriate for such a simple 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 simple read-only list tool with one optional parameter and annotations covering safety, the description is minimally adequate. However, it lacks guidance on when to choose this over get_new_tokens and does not describe the expected return shape, especially with no output schema present.
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%, so the description should explain the limit parameter. The name and schema constraints are somewhat self-documenting, but the description does not mention limits, defaults, or how pagination/truncation behaves.
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?
The description clearly identifies what the tool returns: top pump.fun tokens, ranked by market cap. It is unambiguous about the resource and ordering, though it lacks an explicit verb and does not differentiate it from siblings like get_new_tokens.
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?
There is no guidance on when to use this tool versus alternatives such as get_new_tokens, get_token_details, or get_coin_intel. The description implies it is for trending tokens but provides no exclusions or selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes, but get_coin_intel and get_oracle_conviction overlap in providing intelligence signals; descriptions help differentiate but still may cause confusion.
Naming patterns are mixed: some use snake_case (get_bonding_curve), others use camelCase (sns_reverseLookup), and kol_leaderboard lacks a prefix that others like pumpfun_ have.
19 tools cover a broad range of pump.fun functionality, from token details to claims and social analysis; the count feels appropriate for the scope.
The tool set covers virtually all core aspects of pump.fun ecosystem: token info, intelligence, trading, claims, AMM quotes, metadata upload, SNS, and social sentiment, with no obvious gaps.