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inject_rules

Generate formatted rules for AI prompts based on context. Returns structured text with scope labels and priority markers.

Instructions

Generate a formatted rules section for injection into AI prompts. Returns structured text with applicable rules for a given context, including scope labels and priority markers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextYesContext/topic to filter relevant rules
formatNoOutput format: structured (markdown), compact (single line), json, anchored (by type)structured
max_rulesNo
Behavior3/5

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

No annotations provided, so the description carries full burden. It indicates generating text with no side effects, but does not disclose permissions, rate limits, or whether the operation is read-only.

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 sentences that efficiently state purpose and output characteristics with no superfluous content.

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?

Adequate for a simple generation tool, but missing details on max_rules behavior and exact output structure (no output schema). Could specify that output is a string suitable for embedding.

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?

Two of three parameters have schema descriptions (context and format). The description adds context about output content but does not explain max_rules. Schema coverage is 67%, so baseline 3 is justified.

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 generates a formatted rules section for injection into AI prompts, which distinguishes it from siblings that add, list, or match rules. However, it does not explicitly differentiate from list_rules or match_rules.

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 versus alternatives. The description only mentions 'for injection into AI prompts' but does not exclude cases where raw rule lists or other formats are needed.

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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