Skip to main content
Glama

get_policy

Retrieve active policy configuration for your organization: allowed LLM models, budget limits, tool permissions, rate limits, escalation rules, and default-deny behavior. Changes apply instantly.

Instructions

Return the active policy configuration for the current organisation.

Policy controls: allowed LLM models, budget limits per agent, tool permission matrix, rate limits, escalation rules and default-deny behaviour. Changes take effect immediately on all active agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the burden. It adds context about the policy controls and mentions that changes take effect immediately, which informs the agent about the dynamic nature of the policy. No contradictions.

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, front-loaded with the primary action, followed by a concise enumeration of what the policy controls. Every sentence adds value with 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 output schema or annotations, the description provides a good overview of the return content. It could briefly mention caching or freshness, but overall it's adequate for a zero-parameter read tool.

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?

The tool has zero parameters, so the description need not add parameter info. It still benefits from a baseline score of 4, as it avoids missing information.

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 returns the active policy configuration for the current organisation, listing specific controls (allowed models, budgets, tool permissions, etc.), which distinguishes it from other get_* tools in the sibling list.

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?

While the purpose is clear, there is no explicit guidance on when to use this tool versus alternatives (e.g., other get_ tools). Usage is implied but not directly stated.

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/VibOpsai/vibops-mcp'

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