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ingest_text

Chunk, embed, and store text in a collection for later semantic search. Optionally attach metadata like source or title.

Instructions

Chunk, embed, and store text in a collection for later semantic search.

collection: logical namespace (e.g. a project or document set). metadata: optional JSON attached to every chunk (source, title, url, ...).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
metadataNo
collectionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, and the description only reveals that the tool modifies data and uses chunking/embedding. It does not disclose side effects (e.g., overwriting, idempotency), auth requirements, or error conditions.

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 concise: two sentences for the action and two lines for parameters. No unnecessary words, and the action is front-loaded.

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 performs a complex pipeline (chunk, embed, store), but the description omits critical details: success return value, collection creation behavior, chunking parameters, and embedding model. Given no annotations, the description is insufficient for safe invocation.

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?

Parameter descriptions exist only for 'collection' and 'metadata' in the description, providing semantic context. 'text' is unexplained, and output schema is not addressed. With 0% schema coverage, this adds some value but is incomplete.

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's action: chunk, embed, and store text for semantic search. It distinguishes from siblings (delete_collection, list_collections, search) by being the ingestion tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for adding text to a collection for later retrieval, but does not explicitly state when to use or avoid it, nor mention prerequisites like collection existence.

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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