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Chaos-Intelligence-Inc

@chaosintelligence/mcp

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get_reactions

Retrieve all available reaction types for Resonate posts, optionally filtering by upvote or downvote vote type.

Instructions

Get all available reaction types used on Resonate posts. Reactions are nuanced labels like "Resonates", "Insightful", "Fallacious" that people attach to their votes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vote_typeNoFilter by vote type (upvote reactions or downvote reactions)
Behavior2/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It implies a read-only 'Get' operation but does not disclose that the optional 'vote_type' parameter filters results, nor does it mention return format or other behavioral details. Examples of reaction labels add context but do not cover filtering nuance.

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?

Two concise sentences with no wasted words. The first states the primary function, the second provides useful examples of reaction labels, earning its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one optional parameter and no output schema, the description covers the core purpose and gives helpful examples. However, it omits mention of the vote_type filter and does not clarify whether 'all' reaction types vary by vote type, leaving a small but real completeness gap.

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%, with the 'vote_type' parameter fully documented in the schema. The description adds no parameter information, but the schema already defines the enum and its filtering purpose. Baseline of 3 is appropriate because the schema does the heavy lifting.

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 uses a specific verb ('Get') with a clear resource ('all available reaction types') and provides context ('used on Resonate posts'). It clearly distinguishes itself from sibling tools by naming a unique resource not covered by any sibling.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool vs alternatives, nor any mention of when not to use it. The description only states what it does, leaving usage context entirely implicit.

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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