List posts
list_postsPublished posts, newest first. Returns metadata only — call get_post for the full body.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_postsPublished posts, newest first. Returns metadata only — call get_post for the full body.
| 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?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds useful behavioral context: it filters to published posts, orders newest first, and limits output to metadata. While it does not mention pagination or limits, the description meaningfully supplements the annotations.
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?
Two short sentences with no filler. The most important behavioral facts — published posts, ordering, and metadata-only output — are front-loaded, and the pointer to get_post is concise.
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?
For a zero-parameter list tool with annotations covering safety, the description fully equips an agent to select and invoke it correctly. It states what is returned, how results are ordered, what is excluded, and where to go for the full body.
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 has zero parameters and schema coverage is 100%, so the schema carries no burden. The description adds relevant output semantics by saying it returns metadata only, which is more than needed for a parameterless tool.
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?
The description uses a specific verb-resource pairing ('list posts') and immediately defines the scope: published posts, newest first. It also differentiates itself from get_post by clarifying that it returns metadata only, not the full body.
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 description explicitly tells the agent when to use this tool versus get_post: use list_posts for metadata, use get_post for the full body. This direct routing to a sibling tool is clear and leaves no 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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