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delete_observations

Remove specific observations from entities by matching exact text. Manage stored memories in a local offline memory server.

Instructions

Remove specific observations from entities by matching text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deletionsYesList of {entityName, observations} deletion requests.
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It discloses the basic action of deletion via text matching, but lacks details on irreversibility, idempotency, error handling, or permissions, which are important for a destructive operation.

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 focused sentence, front-loading the core purpose without extraneous words. It earns its place efficiently.

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?

The tool is simple but lacks an output schema; the description does not mention the return value or success indication. It also omits error scenarios like entity not found, leaving the agent with incomplete information for robust usage.

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%, so the schema already documents parameters. The description adds minimal value beyond the schema, only implying that matching is by text. Baseline 3 is appropriate.

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 action (remove) and the resource (observations from entities) and includes the matching criterion (by matching text), distinguishing it from sibling tools like add_observations and delete_entities.

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, such as delete_entities or create_entities. It does not mention prerequisites, when not to use, or any context for selection.

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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