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remove_info

Remove information from your organization's knowledge base using natural language. Describe what to remove, and the tool finds and deletes it.

Instructions

remove information from the knowledge base using natural language. describes what to remove, and the tool finds and removes it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesdescription of what to remove (e.g., 'remove the project veridian entry', 'delete alice from team')
sectionNolimit removal to a specific section
Behavior2/5

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

Without annotations, the description carries full burden but only states 'finds and removes it.' It does not disclose permanence, reversibility, permissions, or side effects on related data.

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?

Single sentence, 21 words, no redundant phrasing. Could be slightly more front-loaded but is efficient.

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?

No output schema and no description of return values or success/failure behavior. For a mutation tool, this is incomplete.

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 coverage is 100% with descriptions for both parameters. The description adds no new meaning beyond the schema, so baseline score applies.

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 removes information from the knowledge base using natural language, with a specific verb and resource. It distinguishes from siblings like add_info and search_context.

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 on when or when not to use this tool versus alternatives like update_section or search_context. The description only mentions natural language input but does not set exclusions or preferences.

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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