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MCP Action Firewall

Trigger Long Running Operation Tool

trigger-long-running-operation

Initiate a simulated long-running operation that provides periodic progress updates. Useful for testing how AI agents handle asynchronous tasks and progress tracking within the MCP Action Firewall's approval framework.

Instructions

Demonstrates a long running operation with progress updates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
durationNoDuration of the operation in seconds
stepsNoNumber of steps in the operation
Behavior2/5

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

The description only mentions 'progress updates' but does not disclose other important behavioral aspects like whether the operation is blocking or how progress is reported. No annotations are present to supplement this.

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 a single sentence with no unnecessary words, achieving maximum conciseness while conveying the core purpose.

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?

Given the tool's simplicity (2 parameters, no output schema, no annotations), the description is minimally adequate. It explains the basic idea but could provide more context, such as typical use cases or behavior.

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 input schema already has descriptions for both parameters (duration, steps), covering 100% of the schema. The description adds no extra meaning beyond what is provided, so it meets the baseline.

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 demonstrates a long running operation with progress updates, which is specific enough to convey the tool's purpose. However, it doesn't explicitly distinguish it from sibling tools, but the unique function is implied.

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

Usage Guidelines2/5

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

No guidance on when to use this tool or alternatives is provided. The description lacks context about the intended scenario, such as testing or demonstration purposes.

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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