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knowledge_ingest

Add structured information to a Postgres knowledge base for organized storage and retrieval. This tool enables users to input content with metadata like domain, source, and tags to build a searchable knowledge repository.

Instructions

Add a knowledge atom to the Postgres knowledge base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idYes
contentYes
domainNogeneral
sourceNo
tagsNo
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 behavioral disclosure. It states 'Add' implies a write operation, but it doesn't cover critical aspects like permissions needed, whether the operation is idempotent, error handling, or rate limits. This leaves significant gaps in understanding the tool's behavior.

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 with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly, which is ideal for conciseness.

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 the complexity of a write operation with 5 parameters, 0% schema coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain the tool's behavior, parameter meanings, or expected outcomes, leaving the agent with insufficient information to use it effectively.

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 schema provides no parameter details. The description mentions 'knowledge atom' but doesn't explain what parameters like 'app_id', 'content', 'domain', 'source', or 'tags' mean or how they should be used. This fails to compensate for the lack of schema documentation.

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 ('Add') and resource ('knowledge atom to the Postgres knowledge base'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'store_put' or 'knowledge_search', which might handle similar data operations, 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?

No guidance is provided on when to use this tool versus alternatives like 'store_put' or 'knowledge_search'. The description lacks context about prerequisites, such as when knowledge ingestion is appropriate compared to other storage or search operations, leaving the agent without clear usage instructions.

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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