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Agent Memory Bridge

recall

Search durable memory and coordination signals across namespaces. Filter by query, kind, tags, or actor to retrieve relevant entries or poll for updates.

Instructions

Recall matching entries or poll for new signals from the bridge.

Use this tool to search durable memory, filter by metadata, or poll for fresh coordination signals. For issue-like work, prefer project and domain recall before external search. For workflow polling, pass since and usually kind="signal".

Returns matching items plus a next_since cursor that can be reused for the next polling cycle.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
namespaceYesNamespace to search or poll, such as `project:<workspace>`, `domain:<name>`, or `global`.
queryNoOptional text query for full-text recall. Leave empty to use filter-only retrieval or polling.
limitNoMaximum number of entries to return. Smaller values keep context tighter.
kindNoOptional type filter. Use `memory` for durable knowledge recall and `signal` for coordination or polling flows.
signal_statusNoOptional status filter for signals. Useful when you want only pending handoffs, currently claimed work, or already-acked coordination events.
tags_anyNoOptional OR-style tag filter. Any matching tag is enough for an entry to qualify.
session_idNoOptional session filter to narrow results to one conversation or run.
actorNoOptional actor filter for entries written by a specific agent or user.
correlation_idNoOptional correlation filter to recall entries linked to the same workflow, handoff, or task.
sinceNoOptional cursor for polling only entries newer than a previously seen entry id. Most useful with `kind="signal"`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries full burden. It explains return format (matching items + next_since cursor) and polling behavior. It could mention read-only nature or side effects but does well overall.

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?

Four sentences, each earning its place. First sentence states core purpose, second gives use cases, third provides specific guidance, fourth describes return. No waste.

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 10 parameters and output schema exists, the description covers key use cases and return cursor. It is sufficient for an agent to decide when and how to use, though more sibling differentiation could help.

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

Parameters4/5

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

Schema coverage is 100%, baseline 3. The description adds value by explaining two modes (search vs poll) and giving specific guidance for `since` and `kind`. This lifts it above baseline.

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 recalls matching entries or polls for new signals, with specific verbs and resources. It distinguishes from siblings like ack_signal, claim_signal, and store by focusing on retrieval and polling.

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 issue-like work, prefer project and domain recall before external search' and 'For workflow polling, pass `since` and usually `kind="signal"`. It lacks explicit 'when not to use' but gives strong usage hints.

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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