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board_log_activity

Log agent activities, decisions, and observations to an audit stream for persistent memory across sessions. Use for research notes, planning decisions, blockers, or any context that should not be lost.

Instructions

Append an entry to the activity_log — a write-only audit stream of what agents did, decided, or observed. Use this for: RESEARCH observations the next session should see, decisions made during PLAN/REVIEW, blockers, notable failures, or any context that shouldn't be lost. Most status/assignment changes via board_update_task and board_create_task already write their own activity_log entries automatically — call this explicitly for free-form comments (action='commented') or arbitrary actions. Read back via board_get_activity. Returns { id, action, message }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_nameYesName of the agent (free-form string — e.g., 'main', 'code-reviewer', 'gcp-infra'). Used for filtering and audit.
actionYesAction type. Fixed enum. Most values correspond to lifecycle events written automatically by other tools; use 'commented' for free-form notes/observations logged manually.
detailsNoHuman-readable description of what happened. Required in practice for 'commented' — without it, the entry is empty.
task_idNoRelated task ID if this activity is about a specific task. Enables filtering via board_get_activity(task_id=...). Omit for project-level or session-level events.
session_idNoRelated session ID if this activity is scoped to a specific session. Enables filtering via board_get_activity(session_id=...).
metadataNoOptional structured payload (e.g., { commit_sha: 'abc123', build_id: 'build-456' }). Stored verbatim, not indexed.
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key traits: it's a write operation ('write-only audit stream'), explains what happens to the data (appended to log), mentions automatic logging by other tools, and notes the return format ('Returns { id, action, message }'). It could improve by addressing potential side effects or error conditions, but covers core behavior well.

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 efficiently structured: it starts with the core purpose, lists use cases, clarifies when to use vs. automatic logging, and ends with return values. Every sentence adds value—no fluff or repetition—making it easy to parse and front-loaded with essential information.

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 (6 parameters, no output schema, no annotations), the description does well: it explains the tool's role, usage, and return format. However, it lacks details on error handling, data persistence, or constraints (e.g., log size limits), which would enhance completeness for a write operation without annotations.

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?

The schema description coverage is 100%, so the baseline is 3. The description adds meaningful context beyond the schema: it explains the purpose of the activity_log, clarifies when to use 'commented' vs. other actions, and notes that details are 'Required in practice for 'commented''. However, it doesn't elaborate on all parameters (e.g., metadata usage), keeping it from a perfect score.

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: 'Append an entry to the activity_log — a write-only audit stream of what agents did, decided, or observed.' It uses specific verbs ('append') and identifies the resource ('activity_log'), distinguishing it from sibling tools like board_get_activity (for reading) and board_update_task (which writes automatically).

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?

The description provides explicit guidance on when to use this tool vs. alternatives: 'Use this for: RESEARCH observations... decisions... blockers...' and clarifies that 'Most status/assignment changes via board_update_task and board_create_task already write their own activity_log entries automatically — call this explicitly for free-form comments... or arbitrary actions.' It also references the sibling tool board_get_activity for reading back entries.

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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