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marcomoauro

Substack MCP Server

by marcomoauro

list_posts

List drafts, published, or scheduled posts from your Substack publication. Search by text, paginate, and sort results to find specific posts. Returns post summaries.

Instructions

List the posts of your Substack publication: drafts, published posts or scheduled posts. Supports free-text search, pagination and sort direction. Each post is returned as a summary; use get_draft for the full content of an unpublished one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many posts to return, 1-100, defaulting to 25.
offsetNoHow many posts to skip, for paging through the archive.
searchNoFree-text search over the posts, matching title and content.
statusYesWhich list to read: 'drafts' for unpublished work in progress, 'published' for posts already out, 'scheduled' for posts queued to go out later.
sort_directionNoOverrides the default order. Drafts and published posts are newest-first; scheduled posts are soonest-first. The column sorted on is fixed per status: draft_updated_at, post_date and trigger_at respectively.
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that each post is returned as a summary and that unpublished posts require get_draft for full content, which is useful behavioral context. It also implies read-only behavior by using 'list' and does not mention side effects.

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 two concise sentences, front-loaded with the main purpose and followed by a useful note about output and an alternative tool. No unnecessary words.

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?

The tool is straightforward, and the description covers its key features (statuses, search, pagination, sort) and mentions the output format (summary). With no output schema, it gives a useful hint about what is returned. It sufficiently addresses the tool's purpose within the context of the sibling tools.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already fully documents all parameters. The description adds some context by summarizing the statuses and mentioning search/pagination/sort, but it doesn't significantly supplement the parameter descriptions beyond what the schema provides.

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 action (list), the resource (posts of your Substack publication), and the scope (drafts, published, scheduled). It also mentions supporting search, pagination, and sorting, and explicitly distinguishes from get_draft for full content.

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?

The description provides clear context for when to use the tool (listing posts by status) and explicitly points to get_draft for full content of unpublished posts, serving as an alternative. It doesn't explicitly state when not to use it, but the context is sufficient.

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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