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explain_receipt_omission

Identifies the reason a specific chunk was excluded from a Context Receipt, helping debug token selection in context optimization.

Instructions

Explain why a chunk was omitted from a Context Receipt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chunk_idYes
receipt_jsonYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the purpose without revealing any behavioral traits such as side effects, prerequisites, or error conditions. This is severely lacking.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise. However, it is too brief and omits essential details, bordering on under-specification rather than effective conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the minimal description, lack of annotations, and no parameter info, the description is severely incomplete. Even with an output schema, the agent lacks understanding of input semantics and usage context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% (no parameter descriptions in the input schema), and the description does not explain the meaning or format of 'chunk_id' or 'receipt_json'. The description adds no semantic value beyond the parameter names.

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 tool's purpose: explain why a chunk was omitted from a Context Receipt. The verb 'explain' and the resource 'omission' are specific. However, it does not distinguish from the sibling tool 'recover_receipt_omission', which suggests recovery rather than explanation.

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 'recover_receipt_omission'. The usage context is implied but not explicitly stated, leaving the agent without clear direction.

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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