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GonzaloTorreras

ai-dememory

Review Recall Miss

memory.recall_miss_review

Reject or dismiss a reviewed recall miss without writing recall fixtures or canonical memory. Specify the miss, status, reviewer, and reason.

Instructions

Reject or dismiss a reviewed recall miss without writing recall fixtures or canonical memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
missYes
reasonYes
statusYes
reviewerYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
reasonYes
statusYes
reviewed_atYes
reviewed_byYes
fixture_updatedYes
canonical_memory_updatedYes
Behavior4/5

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

Annotations already indicate non-readonly and non-destructive behavior. The description adds valuable behavioral context: it does not write fixtures or canonical memory, clarifying the limited scope of the action. This goes beyond what annotations alone provide.

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 of 13 words, front-loading the action and key constraint. Every word earns its place; no fluff or repetition.

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?

Despite having an output schema, the description does not cover parameter semantics or provide enough context for an agent to correctly fill all required fields. Tool complexity is moderate with 4 required params, and the description falls short.

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

Parameters2/5

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

Schema_description_coverage is 0%, and the description does not elaborate on any of the four required parameters (miss, reason, status, reviewer). Parameters are only hinted by name, which may be ambiguous for an AI agent.

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 'reject or dismiss' and the resource 'reviewed recall miss', and distinguishes from sibling tools by specifying what it does not do ('without writing recall fixtures or canonical memory'). This makes the purpose unambiguous.

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 description implies the tool is for dismissing or rejecting a miss after review, but does not explicitly state when to use it versus alternatives like acceptance or candidate tools. No when-to-use or when-not-to-use guidance is provided.

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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