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resume_ai_autonomy

Resume autonomous AI actions (the twin of ankra ai autonomy resume): restores exactly what the pause turned off - the remediation policy and the agents named in the pause record - and reports any agent that no longer exists. An agent someone disabled deliberately stays disabled. Refused when nothing is paused. Requires ai.manage.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations only supply the safety flags (not read-only, not idempotent, not destructive); the description goes well beyond them, disclosing the restoration scope (remediation policy plus agents from the pause record), partial-failure reporting, the refusal precondition, and the ai.manage permission requirement. It stops short of describing the return payload or error surface in more detail.

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?

Front-loaded with the action and its scope, then progressively adds exceptions, refusal condition, and auth requirement. Four compact sentences with little waste; the parenthetical CLI twin reference is marginally relevant to an agent.

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?

For a zero-parameter mutation with no output schema, the description covers what changes, what is deliberately left unchanged, when it fails, and what permission is required. The only remaining gap is a fuller account of what the call reports back (beyond agents that no longer exist).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description correctly avoids inventing parameters and instead explains how the scope of the operation is derived from the stored pause record.

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?

States a specific verb and resource ('Resume autonomous AI actions') and immediately scopes it against its complement by naming the pause it undoes. An agent can distinguish this from pause_ai_autonomy and the many other 'resume/start' siblings without opening any schema.

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?

Gives clear preconditions ('Refused when nothing is paused') and scope limits ('An agent someone disabled deliberately stays disabled'), which tells the agent when NOT to expect the tool to be useful. It never names pause_ai_autonomy as the paired alternative explicitly, so it falls short of full when/when-not/alternative coverage.

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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