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Crypto Bot Honesty Audit (x402 paid)

Audit crypto-bot source for fake-earnings bugs

audit_bot_code

Input one JS/TS source file (string). Returns findings for: testnet-as-USD, silent-zero balance, cooldown key mismatch, fake faucet endpoint, speculative earnings text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesone JS/TS file
filenameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of disclosing behavior. It does clarify that the tool takes one file and returns findings for specific bug categories, which implies a read-only static analysis. It does not explicitly state side-effect freedom, error behavior, or limitations such as single-file scope beyond the first sentence.

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?

The description is a single compact sentence that front-loads the required input and then lists the distinct finding categories. Every clause contributes information; there is no filler or repetition.

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

Completeness2/5

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

With no output schema and no annotations, the description should explain the return shape and usage context more fully. It lists finding categories but not their structure/severity, does not explain the optional filename parameter, and gives no guidance about the somewhat ambiguous sibling demo_audit.

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

Parameters2/5

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

Schema description coverage is only 50%: only 'code' has a description, and the description largely restates it ('one JS/TS source file (string)' vs 'one JS/TS file'). The optional 'filename' parameter is not explained in the description or schema, leaving its role unclear. Thus the description fails to compensate for the schema coverage gap.

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 states a specific verb and resource: audit crypto-bot source code, and enumerates five concrete bug classes it detects. It is clear what the tool does, but it does not explicitly differentiate itself from the sibling tool demo_audit, which may overlap in purpose.

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 description implies usage: pass one JS/TS source file and receive audit findings. However, it gives no explicit when-to-use guidance or reasons to choose this tool over demo_audit or the other siblings, so the agent must infer the appropriate context.

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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