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pump_status

pump.fun GRADUATION + bonding-curve status for a SOLANA token: has it graduated to a real Raydium market (graduated), how far along its bonding curve (bonding_curve_progress_pct), market cap, creator. THE check for a pump.fun token -- one still ON the curve (graduated=false) is pre-graduation: thin, easy to manipulate, may never graduate. Use for any pump.fun / fresh Solana memecoin question. Returns is_pumpfun=false if the mint isn't a pump.fun token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintYesthe Solana token mint address

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses important behavioral traits: returns is_pumpfun=false for non-pump.fun tokens, warns that pre-graduation tokens are thin and easy to manipulate, and explains what 'graduated' means. This goes beyond a simple status read and provides meaningful context for the agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded with the core purpose, but it contains three sentences and some extra explanatory text. Every sentence adds value, but it is slightly longer than the most concise examples, so a 4 is warranted.

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

Completeness4/5

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

For a simple single-parameter lookup with no output schema, the description covers the main return values, the edge case for non-pump.fun tokens, and the risk context of pre-graduation tokens. It does not specify the exact response format or error handling, but it is fairly complete for the tool's complexity.

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

Parameters3/5

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

The schema covers the single parameter 'mint' with a clear description ('the Solana token mint address'), and the tool description does not add further parameter-level detail. Baseline 3 is appropriate since schema description coverage is 100%.

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 explicitly states it checks pump.fun graduation and bonding-curve status for a Solana token, listing key returned fields (graduated, bonding_curve_progress_pct, market cap, creator). It clearly distinguishes itself from sibling tools by being the dedicated check for pump.fun tokens, making its purpose unambiguous.

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

Usage Guidelines4/5

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

The description gives clear context: 'THE check for a pump.fun token' and 'Use for any pump.fun / fresh Solana memecoin question.' It implies when to use this tool but does not explicitly state when not to use it or name alternative tools, so it falls short of a 5.

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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TDQS

A3.7/5.0
Disambiguation3/5

Many tools share the same core purpose (safety checks) differentiated mainly by chain or asset type, and descriptions are detailed enough to distinguish them most of the time. However, pairs like rug_check/rugcheck and deployer_check/deployer_reputation have overlapping purposes that could lead to misselection.

Naming Consistency3/5

Most tool names follow a lowercase snake_case pattern with clear descriptors, but there are notable exceptions like 'rugcheck', 'defillama', and 'verify'. Additionally, the 'rug_check' vs 'rugcheck' pair is an obvious naming inconsistency.

Tool Count2/5

44 tools is excessive for any server. Even for a broad security/due-diligence purpose, many tools (especially the robinhood_* series) are highly specialized and could be consolidated into fewer actions.

Completeness4/5

The tool surface is impressively comprehensive, covering token/NFT safety, transaction simulation, whale/address tracking, stock analysis, prediction markets, and project validation. Minor gaps exist (e.g., no ENS resolution or stock price history), but they are not critical for the server's core purpose.

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