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gitmem-dev

GitMem

Official
by gitmem-dev

create_decision

Record architectural and operational decisions with rationale and rejected alternatives, enabling AI agents to recall past decisions for continuous improvement.

Instructions

Log architectural/operational decision to institutional memory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesDecision title
projectNoProject namespace (e.g., 'my-project'). Scopes sessions and searches.
decisionYesWhat was decided
rationaleYesWhy this decision was made
session_idNoCurrent session ID
linear_issueNoAssociated Linear issue
docs_affectedNoDocs/files affected by this decision (relative paths from repo root)
personas_involvedNoPersonas involved in decision
alternatives_consideredNoAlternatives that were rejected
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only says 'log', implying a write operation, but does not mention idempotency, side effects, permissions, or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler. It could be slightly more structured (e.g., listing typical use) but is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite 9 parameters and no output schema or annotations, the description is extremely brief. It does not explain return values, error cases, or behavioral expectations, leaving significant gaps for an agent.

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 the schema already documents all parameters. The description adds the 'architectural/operational' context but does not elaborate on parameter meaning or constraints beyond what the schema provides.

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 uses a specific verb ('Log') and resource ('decision') with context ('architectural/operational', 'to institutional memory'), clearly distinguishing it from siblings like 'absorb_observations' or 'analyze'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives (e.g., 'log', 'analyze'). It does not state prerequisites, exclusions, or preferred scenarios.

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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