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promote_memory

Increase a memory's trust level from hypothesis to validated when evidence confirms its accuracy, ensuring reliable information for coding agents.

Instructions

Promote a memory's trust level: hypothesis -> active -> validated. Use when evidence confirms a memory is true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesMemory ID to promote
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 behavioral disclosure. It mentions the action ('promote') and trust level progression, but lacks details on permissions needed, side effects (e.g., if promotion is irreversible), rate limits, or what happens if the memory is already validated. This is a significant gap for a mutation tool with zero annotation coverage.

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 extremely concise with two sentences that are front-loaded and waste no words. Every sentence earns its place by stating the action and usage context efficiently.

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

Completeness3/5

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

Given the complexity of a mutation tool with no annotations and no output schema, the description is incomplete. It covers purpose and usage well but lacks behavioral details like error handling or return values. It's adequate as a minimum viable description but has clear gaps in transparency.

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 description coverage is 100%, so the schema already documents the 'id' parameter. The description does not add any syntax or format details beyond what the schema provides, such as examples of valid IDs. Baseline 3 is appropriate when the schema does the heavy lifting, but no extra value is added.

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 tool's purpose with specific verbs ('promote') and resource ('memory's trust level'), and distinguishes it from siblings by specifying the unique progression of trust levels (hypothesis → active → validated). It goes beyond just restating the name by explaining what promotion entails.

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?

The description provides clear context for when to use the tool ('when evidence confirms a memory is true'), which helps differentiate it from tools like 'deprecate_memory' or 'supersede_memory'. However, it does not explicitly state when not to use it or name specific alternatives, keeping it from a perfect score.

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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