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zzhang82

Agent Memory Bridge

recall

Search durable memory and poll for new signals using metadata filters, returning matching entries with a cursor for continuous polling.

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?

No annotations are provided, so the description must stand alone. It discloses that the tool returns matching items plus a `next_since` cursor for polling cycles. No mention of destructive behavior, but the tool is clearly read-oriented.

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 concise (5 sentences) and front-loaded with the main purpose. Every sentence adds value without unnecessary fluff.

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 tool's complexity (10 parameters, output schema exists), the description covers the two main uses (search and poll) and mentions the cursor. It does not explain all parameter interactions, but the schema fills that gap.

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 baseline is 3. The description does not add parameter-specific meaning beyond what is already in the schema descriptions; it only summarizes the overall purpose.

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: recalling matching entries or polling for new signals. It uses a specific verb-resource combination and differentiates from sibling tools by mentioning use cases like 'prefer project and domain recall before external search'.

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?

Provides explicit usage context: prefer recall before external search for issue-like work, and use polling with `since` and `kind=signal` for workflow polling. Does not explicitly exclude siblings, but they are clearly different tools.

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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