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js-cohn
by js-cohn

ignore_conversation

Ignore a conversation for one team member using the conversation ID. Optionally include the member's email or ID to specify who ignores it.

Instructions

Ignore a conversation for one team member.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNo
api_tokenNo
member_idNo
conversation_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 of disclosing behavior. It only says 'for one team member' but does not explain what ignoring entails (e.g., hiding, muting, reversibility), whether it affects other members, or what side effects occur. This is insufficient for a mutation-like operation.

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

Conciseness4/5

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

The description is a single, clear sentence with no wasted words, making it concise and front-loaded. However, it may be too brief for the tool's complexity, missing essential operational details, but it still earns its place for stating the core purpose.

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

Completeness2/5

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

Given 4 parameters, no annotations, an output schema, and a large set of sibling tools, the description is severely under-specified. It does not explain how to specify the team member, what the tool actually does to the conversation, or what the response looks like, leaving significant gaps for an agent to invoke it correctly.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It hints at a team member but does not identify which parameter (email, member_id, or api_token) corresponds to that member, nor does it explain the role of conversation_id. The description adds minimal value beyond the schema.

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 ('Ignore') and resource ('a conversation') with a clear scope ('for one team member'), distinguishing it from sibling tools like archive, trash, and spam. It clearly states the tool's function in a single, unambiguous phrase.

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 provided on when to use this tool versus alternatives such as archive, spam, or snooze. It does not mention any exclusions, prerequisites, or typical scenarios, leaving the agent without context on how to choose this over similar operations.

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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