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chieflab_measure_reddit

P115 — pull a Reddit post's score + comments + upvote ratio + top replies via the public Reddit JSON API and write them to the action's metadata.proof. USE WHEN a published Reddit action is ripe for 24h measurement. Parses subreddit + post id from the publishedUrl, calls https://www.reddit.com/r//comments/.json (no auth), auto-creates next-move actions based on the outcome (trending → reply + cross-post; engaged → reply; downvoted → rewrite angle). Idempotent — second call returns existing measurement unless force:true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
forceNoRe-measure even if metadata.proof.measuredAt is already set. Default false.
actionIdYesThe action id whose publishedUrl points at the Reddit post. Required.
workspaceIdNoOptional workspace id.

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden. It discloses the use of a public API (no auth), the parsing of subreddit/post id from publishedUrl, idempotency (unless force:true), and the side effect of auto-creating next-move actions based on outcome. This is comprehensive behavioral disclosure.

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?

Four sentences, each earning its place. The description is front-loaded with purpose, then usage condition, then mechanism and side effects, ending with idempotency. No fluff or repetition.

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 description covers the API endpoint, data pulled, side effects, and idempotency. It does not describe the return format, but since it writes to metadata.proof and there is no output schema, this is a minor gap. The presence of a sibling measure_hacker_news tool is not explicitly addressed, but the Reddit specificity is clear.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds meaning beyond the schema by explaining how actionId's publishedUrl is used to derive subreddit and post id, and clarifies the force parameter's effect on idempotency. This extra context justifies a score above baseline.

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 tool pulls a Reddit post's score, comments, upvote ratio, and top replies, and writes them to metadata.proof. This specific verb+resource combination distinguishes it from sibling tools like measure_hacker_news.

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 specifies when to use it: 'USE WHEN a published Reddit action is ripe for 24h measurement.' This is clear contextual guidance. However, it does not explicitly mention alternatives or when not to use it (e.g., for Hacker News posts), so it only partially meets the 'vs alternatives' criterion.

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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TDQS

A3.8/5.0
Disambiguation2/5

Many tools have overlapping purposes (e.g., multiple launch and measurement tools), and the presence of aliases like chiefmo_* can confuse an agent. While descriptions are detailed, the sheer number of tools covering similar workflow steps makes it hard to distinguish the right one without careful reading.

Naming Consistency4/5

All public tools start with 'chieflab_' and mostly follow a verb_noun pattern (e.g., chieflab_approve_action, chieflab_set_company_profile). However, some internal names like 'chiefmo_*' appear as aliases, which slightly breaks consistency from the user's perspective.

Tool Count1/5

45 tools is excessive for a single MCP server. While the domain is broad, this many tools likely overwhelms agents and users. Most well-scoped servers have 3-15 tools; 45 indicates poor scoping and should be split into focused sub-servers.

Completeness5/5

The tool surface is extremely comprehensive, covering the full lifecycle from signup and installation to launch, approval, execution, measurement, next-move suggestions, manual fallback, and specialist delegation. No obvious gaps for the stated purpose of growth and distribution.

Resources