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verify_property_tool

Run formal verification on binaries or constraint sets. Use Z3, angr, or mock backends to obtain verification status and counterexamples.

Instructions

Run formal verification on a binary or constraint set. Supports Z3 (constraint solving), angr (Docker symbolic execution), and mock backends. Returns verification status and any counterexample found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entryNo
backendNoz3
findKindNoaddr_reached
avoidKindNo
findValueNo
maxStatesNo
avoidValueNo
constraintsNo
targetBinaryNo
timeoutSecondsNo
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses supported backends (Z3, angr via Docker, mock), and that it returns a verification status and counterexample. However, it does not mention side effects, prerequisites, or whether it is read-only, leaving gaps in behavioral transparency.

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 three sentences, front-loaded with the main action, and every sentence adds useful information: what it does, supported backends, and return values. There is no wasted text.

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

Completeness1/5

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

Given the tool's complexity (10 parameters, 0% schema coverage, no output schema, no annotations), this description is far from complete. It omits explanations of critical parameters like findKind/avoidKind, does not describe the output format in detail, and lacks guidance on prerequisites or failure modes.

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?

The schema has 10 parameters with 0% coverage, and the description only indirectly hints at backend, targetBinary, and constraints. Most parameters (entry, findKind, avoidKind, findValue, maxStates, avoidValue, timeoutSeconds) remain unexplained, leaving substantial ambiguity.

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 clearly states it runs formal verification on a binary or constraint set, identifies supported backends, and specifies the return values (status and counterexample). This is a specific verb+resource, but it does not distinguish itself from the sibling verify_with_orchestrator_tool, so it loses the top score.

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 a clear context for when to use the tool: when formal verification is needed on a binary or constraint set. It does not explicitly mention alternatives or exclusions, but the usage context is apparent from the first sentence.

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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