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read_page

Fetch and convert Confluence page content to Markdown format using the page ID to access specific documentation or articles.

Instructions

Fetch the full content of a specific page by its ID.

Args: page_id: The Confluence page ID

Returns: Dictionary containing page title and content in Markdown format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_idYes

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 the full burden of behavioral disclosure. It states the tool fetches content, implying a read-only operation, but doesn't clarify aspects like authentication requirements, rate limits, error handling, or whether it accesses public or private pages. The description adds minimal behavioral context beyond the basic action, missing key details for safe and effective use.

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 highly concise and well-structured. It starts with a clear purpose statement, followed by dedicated sections for 'Args' and 'Returns,' each with brief, relevant details. Every sentence earns its place, with no redundant or verbose language, making it easy to scan and understand quickly.

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 (one parameter) and the presence of an output schema (implied by 'Returns' details), the description is moderately complete. It covers the basic action and parameter semantics but lacks usage guidelines and behavioral transparency, which are important for a tool with no annotations. The output information helps, but overall completeness is adequate with noticeable gaps.

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 input schema has 0% description coverage, so the description must compensate. It adds meaningful semantics by specifying that 'page_id' is 'The Confluence page ID,' clarifying the parameter's purpose and format. However, it doesn't detail constraints like ID format or examples, leaving some ambiguity. With one parameter and no schema descriptions, this is above baseline but not fully comprehensive.

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?

The description clearly states the tool's purpose: 'Fetch the full content of a specific page by its ID.' It specifies the verb ('fetch'), resource ('page'), and scope ('by its ID'), making the action unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'list_space_content' or 'search_confluence', which likely serve different purposes (listing vs. searching vs. fetching a specific page).

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools or contexts where other tools might be more appropriate, such as using 'search_confluence' when the page ID is unknown or 'list_space_content' for browsing. There's also no information on prerequisites or constraints, leaving usage decisions to inference.

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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