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loophole-tape

wallet_profile

$0.02: wallet class from our rolling PnL leaderboard (insider / sniper / skilled / crowd), holdings among recent mints, creator stats if any.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description is the only source of behavioral context. It does disclose that the tool reports leaderboard-derived wallet classes, holdings, and conditional creator stats, and the '$0.02' prefix hints at a cost, but it never explicitly states that the operation is read-only or describes error/freshness behavior. The name 'profile' and the passive data language make a read-only lookup the reasonable inference.

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 one compact sentence that packs in the core output categories and the classification labels without redundancy. The leading '$0.02:' is slightly cryptic and competes with the main purpose for attention, but the rest is efficiently structured and front-loaded with the key result.

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

Completeness3/5

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

For a one-parameter lookup with no output schema, the description gives a reasonable high-level picture of the response: wallet class, holdings, and creator stats. It does not cover the input format, exact return shape, or relationship to sibling tools, but the tool is simple enough that an agent can likely invoke it correctly with the address parameter alone.

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?

Schema description coverage is 0%, so the description must compensate for the 'address' parameter. It only does so implicitly through 'wallet class' and 'wallet profile', making it clear that address refers to a wallet identifier, but it does not specify format, chain, or examples. For a single self-descriptive parameter this is adequate but minimal.

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 identifies a specific resource (wallet profile) and the concrete output: wallet class (insider/sniper/skilled/crowd), holdings among recent mints, and creator stats. It does not use an explicit verb like 'retrieve' or 'returns', and it does not name a sibling tool, so it stops short of full differentiation.

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

Usage Guidelines3/5

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

The single required 'address' parameter and the phrase 'wallet class from our rolling PnL leaderboard' imply the tool is for analyzing a wallet address, which is enough to infer a basic use case. However, the description gives no explicit when-to-use guidance, exclusions, or comparisons to siblings such as creator_reputation or market_regime.

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
Disambiguation5/5

Each tool serves a distinct analysis layer: market regime, launch lists, graduation/rug event lists, per-mint risk cards, creator reputation, and wallet profiling. Even the demo tool (sample_mint) is clearly framed as a preview of mint_risk_card rather than a competing endpoint.

Naming Consistency5/5

All tool names follow the same snake_case, descriptive noun-phrase pattern (creator_reputation, mint_risk_card, recent_launches). There is no mixing of verb styles or camelCase, making the toolset predictable for an agent.

Tool Count5/5

Eight tools is well within the ideal range and each tool covers a meaningful slice of the pump.fun risk-analysis domain. No tool feels redundant or purely cosmetic.

Completeness5/5

The set covers the full workflow: market context, recent launches, graduation and rug outcomes, per-mint deep dives, creator history, and wallet classification. A user can trace a launch from listing through graduation or rug and then pull entity-level context without hitting dead ends.