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Recon-Fuzz

recon-fuzz-chimera-mcp

by Recon-Fuzz

scaffold_project

Generate a complete Chimera fuzzing test suite for smart contracts by providing contract names and function signatures to create project files.

Instructions

Scaffold a complete Chimera fuzzing test suite for a given contract and its functions. Returns an array of {path, content} for all project files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contract_nameYesName of the contract to scaffold tests for
functionsYesArray of function signatures, e.g. ["deposit(uint256)", "withdraw(uint256)"]
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool generates files but doesn't mention whether it overwrites existing files, requires specific permissions, has rate limits, or what happens if inputs are invalid. For a file-generation tool with zero annotation coverage, this leaves significant behavioral gaps.

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 efficiently structured in two sentences: one stating the purpose and one specifying the return format. It's appropriately sized and front-loaded with the core action, though it could be slightly more concise by combining ideas.

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?

Given the tool's complexity (generating multiple files for fuzzing tests), lack of annotations, and no output schema, the description is minimally adequate. It covers the basic purpose and output structure but misses behavioral details and usage context that would help an agent invoke it correctly in real scenarios.

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 description coverage is 100%, so the schema already fully documents both parameters (contract_name and functions). The description adds no additional parameter semantics beyond what's in the schema, such as format examples for contract_name or validation rules for functions. Baseline 3 is appropriate when the schema does all the work.

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 clearly states the specific action ('scaffold a complete Chimera fuzzing test suite'), identifies the target resource ('for a given contract and its functions'), and distinguishes from sibling tools by specifying the unique output format ('Returns an array of {path, content} for all project files'). This goes beyond a simple tautology of the name.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus the sibling tools (explain_pattern, generate_properties, get_template). It mentions the output format but doesn't specify prerequisites, appropriate contexts, or alternatives for different testing needs.

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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