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sammyboi81

humane-intelligence

request_action

Request approval for consequential actions by submitting an artifact for conformance checking; if approved, receive a single-use token to execute the action. Vetoes block the action.

Instructions

The ONLY door to a consequential action (deploy, write_prod, overwrite, service_restart). Runs the decree conformance check; on pass mints a single-use, artifact-bound, 60s token the executor must present; on veto FAILS CLOSED — no token, no action. Pass the ACTUAL artifact (file contents / diff / plan) so it can be checked and hash-bound.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actorYes
intentNo
targetsYes
artifactYes
action_typeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4.4/5.0
Behavior5/5

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

Despite having no annotations, the description discloses critical behavioral details: a conformance check, a single-use, artifact-bound, 60s token, and a fail-closed veto with no token and no action. This gives an agent the safety-relevant failure semantics and token constraints up front. There is no contradiction with annotations because none are provided.

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 dense sentences front-load the critical exclusivity and fail-closed behavior, then give the key usage instruction. Every clause adds useful information with no filler or redundancy.

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?

The description covers purpose, usage conditions, token constraints, and fail-closed behavior, making the core workflow clear. But with no output schema and no documentation for actor, targets, or intent, an agent still lacks details about the expected response format and some argument semantics. It is above the minimum viable but not fully complete.

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 description adds meaning to artifact ('file contents / diff / plan' to be checked and hash-bound) and action_type (deploy, write_prod, overwrite, service_restart). However, actor, targets, and intent remain undocumented, and with 0% schema coverage the description does not fully compensate. This is a significant gap for a security-sensitive tool with five parameters.

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 names a precise function: the sole gateway for consequential actions, with concrete action types and a clear check-and-mint workflow. This differentiates it from sibling tools like check_conformance and validate_token, which are clearly separate steps in the same pipeline.

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

Usage Guidelines5/5

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

The opening 'THE ONLY door' explicitly scopes when this tool is the right call (deploy, write_prod, overwrite, service_restart) and implicitly rules out non-consequential actions. It also instructs callers to pass the actual artifact, reinforcing correct usage. The exclusivity statement makes a separate alternatives list unnecessary.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.