list_posts
List all published blog posts with slug, title, description, and publication date, newest first.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all published blog posts with slug, title, description, and publication date, newest first.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It does disclose two real behavioral traits — the sort order ('newest first') and the exact field set returned — which is useful. It omits pagination behavior, result limits, and any auth/visibility constraints for an endpoint that claims to return all posts, so it is only partially transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler: verb, resource, scope, returned fields, and ordering all in one pass.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, and the description compensates by enumerating the returned fields and their ordering, which is what an agent needs. The only gap for a no-arg list tool is pagination/result-size behavior, which is minor enough to keep this at 4.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter semantics to document and the baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (list) and resource (published blog posts) with scope ('all published') and even names the returned fields, so an agent can distinguish it from read_post and search_posts by inference. It stops short of explicitly contrasting itself with those siblings, so it lands at 4 rather than 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The 'all published' scope implies this is the enumerate-everything tool as opposed to the filtered search_posts sibling, but the description never says when to prefer it over search_posts or read_post, nor any prerequisites. Usage is inferable rather than stated.
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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