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tool-call-guard

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 4 Aug 2026. How this is checked

Tool-call-guard is a lightweight, framework-agnostic Python library that acts as a security gate for AI agent tool calling. It implements a deny-by-default policy with configurable allowlists, argument validation, rate limiting, human-approval workflows, dry-run simulation, and a full audit trail. The package has zero dependencies and is distributed under the MIT license.

Inferred · not functionally tested

Open SourceMITCLIAPI
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Overview

6 features

Purpose: Safely controlling and auditing which tools AI agents are allowed to call without risking unintended or malicious actions.

Inferred · not functionally tested

Audience: developers

Inferred · not functionally tested

Functions: agents, monitoring

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

tool-call-guard is an AI security & guardrails project. Inferred · not functionally tested: Safely controlling and auditing which tools AI agents are allowed to call without risking unintended or malicious actions. Inferred · not functionally tested: tool-call-guard is an open-source project aimed at developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line and API.

Binay Dhakal builds and maintains tool-call-guard, and it first shipped in 2026. The project is developed in the open on GitHub with 3 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Deny-by-default Policy, allowlists, and Argument Validation. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Deny-by-default Policy
  • Allowlists
  • Argument Validation
  • Rate Caps
  • Human Approval Hooks
  • Dry-run Mode

Topics: Inferred · not functionally tested

Tags
ai-agent-guardrailstool-calling-securitypolicy-enforcementhuman-in-the-loopllm-safety
AI capabilities
Code

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
CLIAPI-only

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed4 Aug · 21:32 UTC
    tool-call-guard seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about tool-call-guard

What does tool-call-guard do?
Inferred · not functionally tested: Safely controlling and auditing which tools AI agents are allowed to call without risking unintended or malicious actions. It is catalogued under AI security & guardrails on PulseGate.
Who is tool-call-guard for?
Inferred · not functionally tested: tool-call-guard is an open-source project built for developers.
Is tool-call-guard free?
Basis unknown · not verified: Yes — tool-call-guard is open source under the MIT license and free to use.
What platforms does tool-call-guard run on?
Basis unknown · not verified: tool-call-guard runs on the command line and API.
Is tool-call-guard still maintained?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 3 commits in the last 90 days.
What are alternatives to tool-call-guard?
Similar projects tracked by PulseGate include jig-toolguard, toolgate-ai, and Gatekeeper.jig-toolguardtoolgate-aiGatekeeper
Who makes tool-call-guard?
tool-call-guard is developed by Binay Dhakal.
When did tool-call-guard launch?
tool-call-guard first shipped in 2026.

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