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remediate_file

Detect, live-exploit in sandbox, patch, and re-verify vulnerabilities in a file, returning proof and a proposed patch for human review.

Instructions

Full verified remediation loop on a file already loaded on the TASIE host: detect -> live-exploit in a sandbox -> assemble patch -> re-verify. Requires the full Docker-enabled TASIE deployment (TASIE_API_BASE). Returns the proof and the proposed patch for human review.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileNoFilename on the TASIE host to remediateapp.py
Behavior4/5

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

With no annotations, the description carries the full transparency burden. It discloses that the tool runs a live exploit in a sandbox (safety), assembles a patch, and returns the patch for human review rather than auto-applying. It also states the Docker deployment prerequisite. This is strong disclosure, though it doesn't explicitly state whether the original file is modified.

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?

Two sentences, no redundancies. Every phrase adds value: the remediation loop steps, the deployment requirement, and the human-review return. Very efficient.

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?

The description covers purpose, prerequisites, and return value for a simple one-parameter tool. It does not describe error conditions or the exact format of the proof, but with no output schema and a single parameter, this is sufficient for an agent to select and invoke the tool correctly.

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 already fully describes the lone 'file' parameter (100% coverage), so the baseline is 3. The description adds context that the file must already be loaded on the host, slightly reinforcing the schema's 'on the TASIE host' phrasing, but does not add new parameter semantics.

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 uses the specific verb 'remediate' and describes a multi-step loop (detect, live-exploit in sandbox, assemble patch, re-verify), clearly distinguishing it from sibling scanning/detection tools. It also states the resource (file on TASIE host) and output (proof and patch).

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: it is for a file already loaded on the host and requires the Docker-enabled deployment. It does not explicitly mention alternatives or exclusions, but the contrast with sibling scan tools implies remediation is the use case. It could be improved by naming alternative scanning tools for detection-only tasks.

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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