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memory_session_summary

Save a compact summary of a coding session: what was done, decisions made, and open items. Future agents retrieve this to bootstrap context quickly.

Instructions

Persist a compact summary of the current session — what got done, what decisions were made, what's still open. Stored as kind='summary', memory_subtype='session_index' with canonical origin metadata. Keep it short (target 30-80 words). Future sessions retrieve these via memory_recall to bootstrap context faster than re-reading the original transcript. Call this near session close (or at major milestone boundaries) when the work is meaningful enough to want a future agent to inherit. Skip for trivial single-question sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoNoRepository or project surface this summary relates to.
contentYesThe summary text. Atomic, self-contained, 30-80 words ideally. Should answer: what was the goal, what did we do, what remains?
entitiesNoLowercase entity names mentioned by the summary (services, repos, people, concepts). Used for entity-scoped recall later.
task_keyNoTask or issue key (e.g. GitHub issue number, JIRA key).
episode_idNoCoherent activity-segment ID for grouping with related captures.
destinationNoOptional destination override. Omit to let routing rules decide.
workspace_idNo[Removed in v0.4.0] No-op.
workstream_keyNoDurable continuity key for a long-running objective (survives across sessions).
Behavior4/5

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

Describes storage specifics (kind, memory_subtype, canonical metadata) and future retrieval benefit. However, does not explicitly state write semantics (e.g., does it overwrite?), but 'persist' implies create. No annotations to contradict.

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?

Five concise, front-loaded sentences. No redundancy, every sentence adds value. Structure is clear: action, storage details, usage guidance.

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 8 params (1 required), no output schema, no annotations, the description covers purpose, storage details, usage, and future retrieval. Lacks error states or idempotency, but adequate for selection and invocation.

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%. The description adds value by explaining content purpose (goal, actions, remaining) and length target (30-80 words). For other params, it mainly echoes schema descriptions but clarifies overall intent.

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 persists a compact session summary with specific content guidance. It distinguishes from siblings like memory_recall (retrieve) and memory_store (generic store) by specifying the kind and subtype.

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 advises to call near session close or milestones, and to skip trivial sessions. Also notes future sessions retrieve via memory_recall, providing clear when-to-use and when-not.

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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