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GonzaloTorreras

ai-dememory

Recall Review Packet

memory.recall_review_packet
Read-only

Generates a weekly recall review packet from memory items, filtered by age and resolution status, to automate review without manual report writing.

Instructions

Render the weekly recall review packet without writing reports, fixture files, or miss outcomes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
pr_urlNo
reviewerNo
max_age_daysNo
invalid_offsetNo
pending_offsetNo
resolved_limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYes
staleYes
pr_urlYes
statusYes
markdownYes
reviewerYes
report_pathYes
writes_filesYes
fixtures_pathYes
invalid_countYes
pending_countYes
invalid_missesYes
invalid_offsetYes
mutates_systemYes
pending_missesYes
pending_offsetYes
resolved_countYes
invalid_has_moreYes
pending_has_moreYes
closes_miss_filesYes
invalid_next_offsetYes
pending_next_offsetYes
writes_fixture_fileYes
invalid_returned_countYes
pending_returned_countYes
records_fixture_promotionsYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds that it does not write reports, fixture files, or miss outcomes, providing specific behavioral details beyond the annotations without contradiction.

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?

Single sentence, front-loaded with the verb 'Render', and no extraneous words. Every part earns its place.

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?

While the purpose and behavioral context are clear, the lack of parameter descriptions and any mention of output format (despite having an output schema) leaves a significant gap. The description does not compensate for the 0% schema coverage.

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% for 7 parameters, and the description provides no information about any parameter's meaning, default, or usage, leaving the agent with no guidance on how to set limit, pr_url, reviewer, etc.

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?

Description states specific verb 'Render' and resource 'weekly recall review packet', and explicitly states what it does not do (write reports, fixture files, miss outcomes), clearly distinguishing from sibling tools that perform write operations.

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

Usage Guidelines4/5

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

Description provides clear context by stating it renders without writing, implying it is for read-only access and that other tools should be used for writing. However, it does not explicitly list alternative tools for specific use cases.

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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