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ethics_filter

Evaluate user stories against the Ethics Filter Framework to identify ethical risks. Get harm clauses and acceptance criteria across five ethical dimensions.

Instructions

Run the Ethics Filter Framework on a user story.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoOptional short description of the application domain (e.g. "patient-facing health app", "internal admin tool"). When provided, every dimension's severity field is set to low / medium / high in this context. When omitted, severity is null.
user_storyYesThe user story to evaluate (standard agile format).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It merely says 'Run' without explaining what the framework does, whether it is a safe read operation, what side effects occur, or what output to expect. This is a significant transparency gap.

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?

The description is a single, front-loaded sentence with no fluff. It conveys the core action and input efficiently. While brief, it avoids verbosity and earns its place as a concise summary.

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 presence of an output schema reduces the need to describe return values. However, the description still lacks context about the framework's purpose, when to invoke it, and what the user should expect. It is adequate for a simple trigger but leaves gaps for an unfamiliar agent.

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?

Schema description coverage is 100%, with both parameters documented. The description adds no extra parameter semantics, but the schema already provides adequate meaning. Baseline of 3 is appropriate since the description does not need to compensate.

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 the action ('Run') and the resource ('Ethics Filter Framework') on a specific input ('a user story'). This distinguishes it from sibling tools that list resources or provide instructions. However, it does not explicitly contrast with siblings, so it misses the top score.

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 is provided on when to use this tool versus alternatives like get_dimensions_rubric or get_examples. There is no mention of prerequisites, the intended workflow, or situations where this tool is preferred. This leaves the agent without directional context.

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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