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christojansen75

Jira/Confluence Team Lead MCP

check_confluence_capabilities

Determine Confluence deployment flavour and if the Table Filter, Charts & Spreadsheet app is installed. Use this to choose the right table_style.

Instructions

Report what this Confluence instance supports for interactive tables: deployment flavour and whether the Table Filter, Charts & Spreadsheet app is installed. Use before choosing table_style.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
space_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It does not mention whether this is a read-only operation, whether it makes network calls, or how the optional space_key parameter affects behavior. It only states what it reports, leaving side effects and safety unclear.

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?

The description is minimal and front-loaded: the first sentence states the core purpose and specific outputs, and the second sentence gives a clear usage directive. Every word earns its place with no repetition or fluff.

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?

Given the tool's low complexity and the presence of an output schema, the description adequately covers purpose and usage. However, it omits explanation of the space_key parameter and does not disclose behavioral traits beyond reporting, which are gaps in an otherwise simple tool. The description is adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage for space_key, and the description does not mention space_key at all. The agent receives no guidance on what the parameter means, why it is optional, or what value to provide. The description fails to compensate for the lack of schema descriptions.

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's purpose with a specific verb ('Report') and resource ('what this Confluence instance supports for interactive tables'), and it lists the exact details it reports (deployment flavour and app installation). This distinguishes it from sibling tools like check_connection, which likely checks connectivity rather than capabilities.

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?

'Use before choosing table_style' provides an explicit usage context, telling the agent when to invoke this tool. However, it does not mention alternatives or when not to use it, such as comparing it to check_connection, leaving some ambiguity.

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

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