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get_project_decisions

Retrieve all decisions recorded for a project across intents to review architectural choices, trade-offs, and avoided constraint violations.

Instructions

Get all decisions recorded for a project across all intents.

Use this to review the project's decision history:

  • See what architectural decisions have been made

  • Understand past trade-offs and their rationale

  • Find decisions affecting specific files

  • Review constraint violations that were avoided

Returns:

  • decisions: Array of decisions with their intent context

  • count: Total number of decisions

Each decision includes (summary-only, to keep context lean — call get_decision_detail(decisionId) for full rationale/context/consequences/alternatives):

  • intentIds: The intents this decision belongs to (array — a decision can span multiple intents)

  • type: fork, abandoned, discovery, constraint, tradeoff, or dependency

  • summary: Brief description of the decision

  • relatedFiles: Files affected by this decision

  • constraintViolations: Options that were rejected due to constraints

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoPathYesLocal path to the repository root
forkAuthorNoFork attribution; usually resolved by Muninn automatically — pass only for override / testing.
repoOriginNoGit remote origin URL. Auto-detected from repoPath via git if not provided.
workspaceIdNoWorkspace identifier; usually resolved by Muninn automatically — pass only for override / testing.
Behavior5/5

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

With no annotations, the description fully discloses behavior: it returns summary-only decisions, lists included fields, explains that decisions can span multiple intents, and enumerates decision types. No contradiction or omission noted.

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 well-structured with a clear opening, bullet points for usage, and a detailed return value summary. While comprehensive, it is slightly verbose in the usage bullet list but remains front-loaded and contains no wasted sentences.

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

Completeness5/5

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

Despite no output schema, the description thoroughly explains the return structure (decisions array with fields, count) and nested object details. It references sibling tool get_decision_detail for deeper context, making it complete for the tool's complexity.

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% with adequate descriptions for each parameter. The description adds no additional information beyond what the schema provides, so a baseline score of 3 is appropriate.

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 'Get all decisions recorded for a project across all intents,' providing a specific verb and resource. It distinguishes itself from sibling tools like get_decision_detail (for full details) and get_session_decisions (session-level).

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 explicitly lists use cases under 'Use this to review the project's decision history' and advises to call get_decision_detail for full rationale, providing explicit when-to-use and when-not-to-use guidance.

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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