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Get engagement feed

get_engagement_feed
Read-onlyIdempotent

Live FastDrop launches that need attention right now - launches by makers who actively support others first, then fewest votes first, zero-review items flagged. The participation loop: Vote on, review, or comment on 3 different launches in the last 7 days: your live launches are shown first to other makers in the engagement feed (get_engagement_feed), and a submission still in manual review moves to the front of the queue. With auth, the feed is personalized (your own launches and already-voted items excluded, tag-matches with your launches ranked first), each item says whether it needs a vote (toggle_vote) or a review (post_review), and the boost object reports your progress. Unauthenticated callers get the generic feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results, 1-20, default 5

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
boostNo
launchesYes
personalizedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, openWorld), and the description adds substantial behavior beyond that: auth changes personalization, own launches and already-voted items are excluded, tag-matches rank first, and each item carries a needs-a-vote/needs-a-review flag plus a boost progress object. This is genuinely useful operational context that the structured fields do not supply.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The ranking rules are front-loaded, which is good, but the second half explaining the participation loop and queue promotion is long and reads more like product-meta than invocation guidance. Several clauses could be trimmed without losing selection value.

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?

An output schema exists, so return values need not be described, yet the description helpfully explains item flags and the boost object. Auth-dependent behavior is covered, and with only one optional parameter the definition gives an agent enough to call it correctly.

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?

There is only one parameter (limit) with 100% schema description coverage including its 1-20 range and default, so the schema carries the semantics. The description adds nothing about the parameter, making the baseline 3 appropriate.

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 states a specific resource (a live-launch engagement feed) and its ranking rules (supportive makers first, fewest votes first, zero-review items flagged), which sets it apart from generic listers like list_launches. It is clear what the tool surfaces, though the purpose is embedded in a long prose block rather than stated up front as a single verb+resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: the feed is for finding launches that need a vote (toggle_vote) or a review (post_review), and the auth/no-auth distinction is noted. However, it never explicitly says when to call this instead of siblings such as list_launches or get_launch_day_status, leaving selection to inference.

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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