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Arin016

context-lattice

by Arin016

memory_explain

Search coding-agent conversation memory to retrieve token-bounded evidence and obtain deterministic routing, fusion, and abstention diagnostics for why certain results were returned.

Instructions

Search memory and include deterministic routing, fusion, and abstention diagnostics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
token_budgetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description ''carries the full burden of disclose behavioral traits. 'Search memory' implies a read-only action, but the description does not explicitly state whether it unmutated or requires permissions, nor does it explain the nature of the diagnostics beyond jargon. The behavioral disclosure is insufficient for a tool with no annotatons.

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

Conciseness4/5

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

The description is one concise, front-loaded sentence with no wasted wording or filler. It could use more depth, but that is a completeness issue rather than a conciseness or structure failure.

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?

Even though there is an output schema, the description does not establish the key context: why anyone would choose this over memory_search, what "deterministic routing, fusion, and abstention" means in practitioner terms, or what behavioral tradeoffs come. For a specialized diagnostics tool with no annotations or clear parameter docs, this definition is incomplete.

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 description coverage is 0%, so the description needs to compensate for the three parameters explain. 'Query', 'limit', and 'token_budget' are not mentione, and 'token_budget' especially is not self-explaning. The description does not become more contribution for the parameter semantics.

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 states a specific action ('Search memory') and a scope ('include deterministic routing, fusion, and abstention diagnostics'), which makes it distinguishable from sibling memory_search. It is clear enough but does not explicitly name or contrast the sibling tools, so it falls short of a 5.

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

Usage Guidelines3/5

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

The diagnostics wording implies the tool is for explaining or debugging memory retrieval decisions, but the description never explicitly says when to use this over memory_search, memory_get, or memory_sync, nor does it provide any exclusions or alternatives. Usage guidance is only implied, not stated.

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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