Skip to main content
Glama

set_rules

Define behavioral constraints for AI agents using permit/forbid/require syntax to enforce covenant rules and generate audit trails.

Instructions

Set covenant rules using permit/forbid/require syntax. Each rule is a string like 'forbid delete_user' or 'permit read_data safe to read'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rulesYesArray of rule strings, e.g. ['forbid delete_user', 'permit read_data']
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the syntax for rules but fails to describe critical behaviors such as whether this operation is idempotent, requires specific permissions, overwrites existing rules, or has side effects. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its impact.

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 and front-loaded, consisting of two sentences that directly address the tool's function and syntax with zero wasted words. Every sentence earns its place by providing essential information efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a rule-setting tool with no annotations and no output schema, the description is incomplete. It lacks information on behavioral traits, error handling, return values, or how rules interact with existing configurations. For a mutation operation, this leaves the agent with insufficient context to use the tool safely and effectively.

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 schema description coverage is 100%, with the schema fully documenting the 'rules' parameter as an array of strings. The description adds value by providing examples of rule strings (e.g., 'forbid delete_user'), which clarifies the expected format beyond the schema's basic type definition, but does not elaborate on semantic constraints or validation rules.

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 specific action ('Set covenant rules') and the method ('using permit/forbid/require syntax'), distinguishing it from sibling tools like 'check_action', 'get_audit_log', and 'verify_log' which suggest different operations. It provides concrete examples of rule strings, making the purpose unambiguous and distinct.

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?

The description offers no guidance on when to use this tool versus alternatives like 'check_action' or other siblings, nor does it mention any prerequisites, exclusions, or contextual triggers. It only explains the syntax but not the appropriate scenarios for applying these rules.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/arian-gogani/nobulex'

If you have feedback or need assistance with the MCP directory API, please join our Discord server