Skip to main content
Glama

create_guardrail

Configure content moderation and security rules by setting up checks and automated actions to filter or block inappropriate content.

Instructions

Create a new guardrail with specified checks and actions for content moderation and security

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the guardrail
checksYesArray of checks to apply (at least one required)
actionsYesActions to take when guardrail checks pass or fail
workspace_idNoWorkspace ID to create the guardrail in
organisation_idNoOrganisation ID (required if workspace_id not provided)
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 states the tool creates a guardrail but lacks critical details: whether this is a write operation (implied but not confirmed), what permissions are needed, if it's idempotent, rate limits, or what happens on success/failure (e.g., returns an ID or error). For a creation tool with complex inputs, this is a significant 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, efficient sentence that front-loads the core action ('Create a new guardrail') and adds purpose ('for content moderation and security'). There's no wasted text, though it could be slightly more structured (e.g., by hinting at parameters).

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 tool's complexity (5 parameters with nested objects, no output schema, and no annotations), the description is inadequate. It doesn't explain the creation process, return values, error handling, or dependencies (e.g., workspace/organization context). For a mutation tool with rich inputs, more guidance is needed to ensure correct usage.

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%, so the schema fully documents all 5 parameters. The description adds minimal value beyond the schema, mentioning 'specified checks and actions' which aligns with the 'checks' and 'actions' parameters but doesn't provide additional context like example check IDs or action types. Baseline 3 is appropriate when the schema does the heavy lifting.

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 verb ('Create') and resource ('a new guardrail'), specifying its purpose for content moderation and security. It distinguishes from siblings like 'get_guardrail' or 'update_guardrail' by focusing on creation, though it doesn't explicitly differentiate from other 'create_' tools (e.g., 'create_api_key', 'create_prompt') beyond the guardrail context.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., required permissions), when not to use it, or how it relates to sibling tools like 'update_guardrail' or 'delete_guardrail'. The agent must infer usage from the name and context alone.

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/s-b-e-n-s-o-n/portkey-admin-mcp'

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