Skip to main content
Glama

Check Content Permissions

confluence_check_content_permissions
Read-only

Check whether a user or group can perform a specific operation (e.g., read, update, delete) on Confluence content. Returns a boolean result.

Instructions

Check whether a user or group can perform an operation on specific content.

Wraps POST /wiki/rest/api/content/{id}/permission/check.

Note: This tool is only available for Confluence Cloud. Server/Data Center instances use different permission APIs.

Returns a JSON object with a 'hasPermission' boolean indicating whether the subject has the requested permission on the content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationYesThe operation to check. Common values: 'read', 'update', 'delete', 'export', 'purge', 'administer', 'create_or_delete_from_view'.
content_idYesConfluence content ID (page, blog post, comment, or attachment). Example: '123456789'
subject_typeNoWhether the subject is a 'user' or a 'group'. Defaults to 'user'.user
user_identifierYesAccount ID of the user (for subject_type='user') or group ID (for subject_type='group'). Example user account ID: '5b10a2844c20165700ede21g'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint: true, so description need not restate safety. Adds value by mentioning the wrapped endpoint (POST) and return format (JSON with hasPermission boolean). 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?

Four sentences, front-loaded with purpose, then endpoint, availability constraint, and return format. No redundant information; every sentence earns its place.

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?

With output schema present, description adequately covers purpose, usage scope, and return. Lacks examples or error handling, but sufficient for a simple read-only check tool.

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 covers all 4 parameters with descriptions (100% coverage). Description adds common operation values and example IDs, providing modest additional guidance beyond the schema.

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?

Description clearly states 'Check whether a user or group can perform an operation on specific content', specifying the action (check) and resource (content permissions), which distinguishes it from siblings like confluence_get_page_restrictions or confluence_get_space_permissions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly notes the tool is only for Confluence Cloud and that Server/Data Center use different APIs, guiding when not to use. Does not directly name alternative tools, but the context provides alternatives via sibling list.

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/GeiserX/atlassian-browser-mcp'

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