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construct_project_narrative

Weaves scattered technical details and tacit knowledge into a coherent project narrative for clear production stories.

Instructions

Phase 2.1: Narrative Construction Engine - Weaves scattered technical details into coherent production stories using Knowledge Archaeology techniques

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
branchNameNoBranch to analyze (defaults to main)
projectNameYesName of the project to construct narrative for
narrativeTypeNoType of narrative to construct: "technical", "executive", "full" (default: full)
includeContextNoInclude project context information (default: true)
includeKnowledgeNoInclude tacit knowledge documents in narrative (default: true)
Behavior1/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It fails to mention what the tool does to the project, what inputs are processed, what the output looks like, or any side effects. The phrase 'Knowledge Archaeology techniques' is vague and conveys no concrete behavioral information.

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

Conciseness3/5

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

The description is a single sentence, which is concise, but it is dense with jargon and metaphor ('Weaves scattered technical details', 'Knowledge Archaeology techniques') making it less immediately parseable. It is not overly long, but the structure could be improved by front-loading the concrete function before the metaphorical label.

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?

The tool has 5 parameters, no output schema, and no annotations, so the description must explain the tool's role and behavior. It does not mention what kind of narrative is produced, how the parameters influence the output, or how it fits into the broader pipeline beyond 'Phase 2.1'. This is inadequate given 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?

The input schema already covers all 5 parameters with descriptions, so the baseline is 3. The description itself adds nothing specific about parameter usage, such as how narrativeType affects the result or how includeContext impacts the narrative. It does not contradict the schema but adds no additional semantic value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states it 'Weaves scattered technical details into coherent production stories', which clearly indicates the tool constructs narratives. It distinguishes itself as a 'Narrative Construction Engine' from sibling tools like timeline_reconstruction, though it doesn't explicitly compare. However, the use of jargon like 'Knowledge Archaeology techniques' slightly obscures the core function.

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 is provided on when to use this tool versus alternatives such as timeline_reconstruction or generate_commit_message. The description does not mention prerequisites, suitable scenarios, or exclusions, leaving the agent to infer usage solely from the tool name.

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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