Skip to main content
Glama

Get permissions

get_policy
Read-onlyIdempotent

Read the user's permissions: the overall setting (block, ask or auto) and every rule for people, domains, labels, accounts and AI apps, each with a plain-English summary and its id. Actions: send, draft, voice, message_send, note_write, slack_post, calendar_write, monitor_create, delete_draft, wake_agent, and deliver_slack, deliver_ntfy, deliver_webhook, deliver_discord, deliver_chatgpt (where alerts may go; only a rule naming one covers it). Reading mail is not governed by this.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
rulesYes
actionsYes
defaultYes
revisionYes
precedenceYes
this_sessionNo
undo_secondsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and closed-world, so the safety profile is covered; the description earns credit for adding substantive context beyond that — the enumerated governed actions and the non-obvious rule that only a rule explicitly naming a delivery channel (deliver_slack, deliver_ntfy, etc.) covers it. It doesn't discuss caching, or whether policy changes elsewhere are reflected immediately, which is minor for a pure read.

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?

It leads with the core action and payload, then adds the action/delivery enumerations, and closes with the mail exclusion. Every clause carries information, though the single run-on sentence packing actions plus delivery channels is denser than it needs to be for skimming.

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?

An output schema exists, so the description needn't document the return shape, and it sensibly focuses on domain semantics instead. Combined with full annotation coverage and zero parameters, an agent has enough to call it correctly; only the sibling disambiguation is missing.

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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline is 4. There is no additional parameter meaning the description could have supplied.

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?

States a specific verb (read) and resource (the user's permissions/policy) and enumerates exactly what comes back: the overall setting (block/ask/auto), rules across people, domains, labels, accounts and AI apps, each with a summary and id. It does not, however, differentiate itself from close siblings like explain_policy, check_permissions, or explain_access, so an agent could still hesitate between them.

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?

Usage is only implied by the resource described. The one explicit scope exclusion — 'Reading mail is not governed by this' — is genuinely useful when-not guidance, but the description never names an alternative tool for the cases it excludes, nor when to prefer explain_policy or check_permissions over this.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.