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confluence_get_blog_posts

Fetch Confluence blog posts filtered by status, space, title, or paginated with a cursor. Response is trimmed to save tokens; request full raw data if needed.

Instructions

Get all blog posts. Returns blog posts filtered by various parameters. Results are paginated - use the returned cursor to fetch more pages if you don't find what you need. Output is trimmed by default (drops _links, _expandable, body content, etc.); pass full=true to receive the raw Confluence response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fullNoIf true, bypass response trimming and return the raw Confluence API response.
limitNoMaximum number of results (default 25, max 250)
titleNoFilter by exact title match
cursorNoCursor for pagination
statusNoFilter by status (current, trashed, deleted, draft)
spaceIdNoFilter by space IDs
bodyFormatNoThe format of the body content to return
Behavior4/5

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

With no annotations, the description effectively discloses pagination behavior, default trimming, and the 'full' parameter to bypass trimming. It does not mention read-only nature or rate limits, but the key behaviors are transparent.

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 that are front-loaded with purpose and include essential behaviors. Every phrase adds value; no waste.

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?

Covers pagination, trimming, and filtering. No output schema exists, but return behavior is explained. Could mention error handling or total counts, but adequate for a list tool.

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?

Schema coverage is 100%, and the description adds value by explaining cursor usage for pagination and trimming behavior. It clarifies the 'full' parameter beyond the schema definition.

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 'Get all blog posts' with filtering, providing verb and resource. However, it does not differentiate from sibling tools like confluence_get_blog_posts_in_space or confluence_get_blog_post.

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?

No guidance on when to use this tool versus alternatives such as get_blog_posts_in_space or get_blog_post. The pagination advice is helpful but does not cover selection context.

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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