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load_abhi_chunks

Load specific chunks from an .abhi file to inspect parts of a knowledge graph using chunk IDs, saved queries, or ad hoc text.

Instructions

Load only selected or query-relevant chunks from an .abhi file for partial graph inspection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
query_idNoOptional saved query id used to select chunks.
chunk_idsNoOptional explicit chunk ids to load.
input_pathYesPath to the .abhi file to inspect.
query_textNoOptional ad hoc query text used to select chunks.
Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits. It only states that chunks are loaded selectively, but does not disclose whether the operation is read-only, destructive, or requires specific permissions. There is no mention of error handling, performance implications, or side effects.

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 sentence that is clear and concise. Every word contributes value, with no redundancy or filler.

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 lack of annotations and output schema, the description is insufficient. It does not explain what 'chunks' are, the return value, or how to interpret results. For a tool that loads data, more context about the output and behavior is needed.

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%, so each parameter is documented. The description adds minimal value by summarizing the overall behavior, but does not clarify parameter relationships (e.g., mutual exclusivity, required combinations). Baseline 3 is appropriate as the schema already does the heavy lifting.

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 verb 'load', the resource 'chunks from an .abhi file', and the purpose 'for partial graph inspection'. It is specific and distinguishes from sibling tools like 'query_graph' by focusing on partial loading of chunks.

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 lacks explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or comparison to similar tools like 'query_graph' or 'load'. The phrase 'for partial graph inspection' provides minimal context but no clear decision rules.

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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