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get_agent_model_rules

List active agent model access rules to control which LLM models each agent can use. Rules use glob patterns with deny taking precedence over allow.

Instructions

List all active agent model access rules for the organisation.

Rules control which LLM models each agent is allowed to use. Uses glob patterns for agent_id matching (e.g. "data-pipeline-") and model matching (e.g. "llama-"). Deny takes precedence over allow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description discloses key behaviors: it lists active rules, uses glob patterns for matching, and notes that deny takes precedence over allow. No annotations exist, so the description carries the full burden and does so adequately.

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 extremely concise, with two short sentences and a phrase, all front-loaded with the main action. No wasted words.

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?

Given no parameters, no output schema, and no annotations, the description covers the tool's purpose and behavioral aspects sufficiently. It is complete for a simple list operation.

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?

There are zero parameters, so baseline is 4. The description does not need to add parameter information beyond the empty schema, and it does not attempt to do so.

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 it lists all active agent model access rules, with specific details about controlling LLM model usage via glob patterns. It distinguishes itself from sibling get tools by focusing on agent model rules.

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 listing rules but does not explicitly state when to use it versus alternatives or when not to use it. No exclusion criteria are provided.

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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