Skip to main content
Glama
thamaraiselvam

Jira & Confluence MCP Server

check_confluence_permissions

Check if your Confluence API token is valid and has required read, search, and optional page write permissions.

Instructions

Check whether the configured API token is valid and has the required permissions. Validates authentication, read/search access, and optionally write access to a specific page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageIdNoOptional. A Confluence page ID to check write access against. If omitted, only authentication and read access are validated.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.1.2

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does reasonably well: it discloses that the scope of checking expands conditionally (auth + read/search always, write only when a page ID is given). It does not disclose what happens on failure (exception vs. boolean) or any rate-limit/permission caveats, so it falls short of full transparency.

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 core purpose before the conditional detail. Every clause earns its place; nothing is redundant.

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

Completeness3/5

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

For a diagnostic tool with no output schema, the description should indicate what a call yields (a pass/fail verdict, error message, or per-check breakdown), and it does not. The behavior is described but the result contract is left unspecified.

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 coverage is 100% and the single parameter is fully documented in the schema itself, so the baseline is 3. The description only restates that write access is checked against a specific page, adding no format or syntax detail 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?

States a specific verb (check/validate) and resource (API token permissions), and enumerates exactly what is validated: authentication, read/search access, and write access. No sibling among search_confluence, jira_* etc. performs credential validation, so it is trivially distinguishable.

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?

The description implies the usage context (validating token validity before or during operations) and explains the read-vs-write branching, but never states when to call it versus other tools or what situation motivates it (e.g. diagnosing auth failures). Usage is inferable rather than explicit.

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