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recommend_posts

Read-onlyIdempotent

Get smart reading recommendations from unread saves. Uses engagement signals, recency, content depth, and variety to pick the best posts to read next. Use when the user asks "what should I read?", "recommend something", "suggest a post", or "surprise me".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of recommendations (default: 5, max: 15)
subredditNoOptionally restrict recommendations to a specific subreddit

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds behavioral context by explaining the selection criteria (engagement signals, recency, content depth, variety), which goes beyond the annotations. It does not contradict any annotation.

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 concise at three sentences, front-loading the core purpose and then providing usage triggers. Every sentence adds value, with no redundancy or fluff.

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?

For a tool with two optional parameters, no output schema, and full schema coverage, the description is quite complete. It explains what the tool does, when to use it, and the selection logic. It could slightly improve by explicitly noting that it only considers unread saves (already implied) or what the return type looks like, but these are minor gaps given the simplicity.

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% for both parameters (count and subreddit), so the schema already documents them adequately. The description does not add further parameter-specific details, such as the meaning of count in relation to unread saves or how subreddit filtering behaves. With full schema coverage, the baseline of 3 is appropriate.

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 states a specific verb ('Get'), resource ('smart reading recommendations from unread saves'), and is clearly distinct from siblings like get_unread or search_posts. It also provides concrete user-phrase triggers ('what should I read?', 'recommend something'), making the purpose unmistakable.

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 explicitly lists when to use the tool via trigger phrases, which is strong guidance. However, it does not mention any exclusions or alternatives (e.g., when to use get_unread or search_posts instead), so it lacks the 'when-not' component that would earn a 5.

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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