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faf_recall

Read-only

Retrieve past decisions and project memories ranked by priority and recency. Filter by query, tags, or type to surface relevant context.

Instructions

Recall memories from the project soul (.fafm), ranked by priority then recency, filtered by query/tags/type. Returns the matching entries. Use this to surface past decisions; use faf_etch to add new ones.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoProject path. Sets session context for subsequent calls.
tagsNoFilter by tag intersection
typeNoFilter by memory type
limitNoMax memories to return
queryNoCase-insensitive substring match on memory text (optional)
minPriorityNoPriority floor (default ephemeral)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
soulNo
totalYesNumber returned
memoriesYes
soulTotalNoTotal memories in the soul
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds behavioral details: ranking by priority then recency, filtering, and return of matching entries. No contradictions.

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: first defines function and behavior, second gives usage guidance. No waste, front-loaded with essential information.

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

Completeness5/5

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

For a retrieval tool with 6 parameters, an output schema, and annotations, the description explains purpose, usage, filtering, sorting, and return type. No need to reiterate output schema.

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 covers 100% of parameters. Description does not add per-parameter details beyond schema, but overall behavior (ranking) is noted. Baseline 3 is appropriate.

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?

Clearly states it recalls memories from the project soul, ranked by priority and recency, and filters by query/tags/type. Distinguishes from sibling faf_etch by contrasting recall vs. add.

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

Usage Guidelines5/5

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

Explicitly says 'Use this to surface past decisions; use faf_etch to add new ones.' Provides direct context and alternative tool, making it easy for the agent to choose.

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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