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alignment_check

Evaluate a decision against your stored principles and semantic history. Retrieve guidance from indexed principles and past reasoning to ensure alignment.

Instructions

Check if a decision aligns with your principles. Searches principles file and semantic history for guidance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
decisionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description bears full burden. It states it searches principles file and semantic history, but does not disclose if the tool is read-only, what permissions are needed, or the format of the output.

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 very concise with two sentences, no wasted words. It is front-loaded with the core action. However, it might be too brief for some details.

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 simple tool with one parameter and no annotations, the description provides basic context. An output schema exists (not shown) which likely documents return values, so the description is adequate but not thorough.

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 input schema has one parameter 'decision' with no description, and schema description coverage is 0%. The description does not elaborate on what constitutes a valid 'decision' or provide examples, leaving the agent to infer meaning from the parameter name alone.

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 clearly states the tool's purpose: checking alignment of a decision with principles. It distinguishes from sibling tools like list_principles or get_principle by focusing on alignment rather than retrieval.

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

Usage Guidelines3/5

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

The description implies usage for alignment checks but does not explicitly state when to use this tool versus alternatives like list_principles or get_principle. No guidance on when not to use it.

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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