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create_reaction

Add emoji reactions to Google Chat messages to express responses or acknowledge communication within Google Workspace.

Instructions

Adds an emoji reaction to a Google Chat message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
message_idYesThe message resource name (e.g. spaces/X/messages/Y).
emoji_unicodeYesThe emoji character to react with (e.g. 👍).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Adds' implies a write/mutation operation, it doesn't specify permissions needed, whether reactions are reversible, rate limits, or what the response contains. The description lacks crucial behavioral context for a mutation tool.

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 a single, efficient sentence that clearly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded with the essential information.

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 mutation tool with no annotations, 3 parameters, and an output schema (which helps), the description is minimally adequate. It states what the tool does but lacks behavioral context, usage guidance, and parameter clarification beyond the schema. The presence of an output schema prevents a lower score.

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 67% (2 of 3 parameters have descriptions). The description doesn't add any parameter information beyond what's already in the schema. With moderate schema coverage, the baseline score of 3 is appropriate as the description neither compensates for gaps nor adds value beyond the schema.

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 clearly states the action ('Adds') and target ('emoji reaction to a Google Chat message'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools (none appear to be Google Chat reaction tools), so it doesn't reach the highest score.

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?

The description provides no guidance on when to use this tool versus alternatives, prerequisites, or contextual constraints. It simply states what the tool does without indicating appropriate usage scenarios.

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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