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mimir_recall_when

Read-only

Retrieve memories triggered by your current context to inject relevant information proactively before coding or planning.

Instructions

Search entities whose recall_when triggers match a given context. Use this for proactive just-in-time memory injection — before writing code, before plans, at session start. Pass the current task description as context and get back memories that declared they should be recalled in similar situations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum entities to return (default 10, max 100)
contextYesThe current task or context description to match against recall_when triggers

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsNo
totalNo
contextNo
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is clear. The description adds behavioral context (proactive, context-matching) but does not detail edge cases (e.g., no match behavior, performance). With annotations covering the main safety aspect, a score of 3 is appropriate.

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?

Two sentences with no wasted words. The first sentence defines the function, the second gives concrete usage scenarios. Front-loads key information efficiently.

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

Completeness4/5

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

Given the moderate complexity (2 params, output schema present), the description covers purpose, usage, and context. With output schema, return details are not needed. Some might expect a note on default limit, but schema covers that. Score 4 reflects slight gap in explaining the 'recall_when trigger' concept.

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 coverage is 100%, so both parameters are documented. The description adds minimal extra meaning beyond the schema: it reinforces that 'context' is the task description to match triggers. This is marginal improvement, hence baseline 3.

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 searches entities based on recall_when triggers matching a given context. It uses specific verb and resource ('Search entities whose recall_when triggers match') and distinguishes from sibling tools like mimir_recall by focusing on trigger-based recall.

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 explicitly states when to use: 'for proactive just-in-time memory injection — before writing code, before plans, at session start.' It implies usage context but does not explicitly mention when not to use or name alternatives like mimir_recall.

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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