datacore_ingest
Transform textual data into a searchable knowledge note, with optional title and tags.
Instructions
Ingest text content as a knowledge note
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tags | No | ||
| title | No | ||
| content | Yes | Content to ingest |
Transform textual data into a searchable knowledge note, with optional title and tags.
Ingest text content as a knowledge note
| Name | Required | Description | Default |
|---|---|---|---|
| tags | No | ||
| title | No | ||
| content | Yes | Content to ingest |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility for behavioral traits, but it only states the function without revealing side effects, authentication needs, or error conditions. This is insufficient for safe invocation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words, which is concise, but it sacrifices necessary detail. It is appropriately front-loaded but too brief to be genuinely helpful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of an output schema and annotations, the description should compensate with richer context. It fails to explain the ingestion process, return value, or how it relates to sibling tools, leaving significant gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is only 33% (only 'content' has a description). The tool description does not elaborate on 'title' or 'tags', nor does it add meaning beyond the schema. For a low-coverage situation, more explanation was expected.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Ingest' and the resource 'text content as a knowledge note', which distinguishes it from siblings like 'datacore_search' or 'datacore_status'. However, it does not specify the exact outcome (e.g., storing or indexing), preventing a full clarity score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like 'datacore_capture' or prerequisites. The description provides no context for decision-making.
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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