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zzhang82

Agent Memory Bridge

by zzhang82

annotate

Enrich an existing durable memory by adding tags, title, actor, and provenance metadata. Original content remains unchanged.

Instructions

Explicitly enrich one durable memory without pretending the write was a new fact.

Use this after store reports duplicate_with_new_metadata. The original content remains unchanged; title/tag changes and additional provenance are written to an auditable annotation record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesExact durable memory id whose metadata should be explicitly enriched.
tagsNoOptional tags to add. Existing tags remain and the annotation is audited.
actorNoOptional identity of the human or agent performing the explicit annotation.
titleNoOptional replacement title. Content and memory identity remain unchanged.
provenanceNoOptional additional provenance fields such as source_client, source_model, session_id, or correlation_id. They are retained in the annotation audit trail.

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 alone must disclose behavior. It states that original content remains unchanged, and changes create an auditable annotation record. This effectively conveys non-destructiveness and auditability.

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 front-load the core purpose and usage condition. Every word earns its place; there is no redundancy or filler.

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?

The description covers purpose, when to use, and key behavioral traits. With an output schema present (though not described), the tool is sufficiently specified for a moderate-complexity enrichment operation.

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 the baseline is 3. The description does not add detailed syntax beyond the schema, but it provides the overarching purpose which helps contextualize the parameters. No extra semantics are 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 explicitly states it enriches durable memory without creating a new fact, and names the specific context ('after store reports duplicate_with_new_metadata'). It clearly distinguishes from the sibling tool 'store'.

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 directly says when to use ('after store reports duplicate_with_new_metadata'), providing clear contextual guidance. It does not exhaustively list when not to use or compare with all siblings, but the condition is specific enough.

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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