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generate_context

Read-only

Scans a git repository and produces a draft context.md for review. Returns the draft without writing to vault, allowing human approval before committing.

Instructions

Scan a git repo and generate a draft context.md. Returns the draft — does NOT write to vault. Human reviews before committing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoProject slug (default: derived from directory name)
project_pathYesAbsolute path to the git repository to scan
Behavior4/5

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

Beyond the readOnlyHint annotation, the description explains that it returns a draft and that human review is required before committing, clarifying the tool's non-persistent behavior. It does not contradict the annotation.

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 a single sentence of 19 words, front-loaded with the primary action ('Scan'), and every phrase contributes meaningful information with no filler.

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?

For a read-only draft generator with two parameters and a simple response, the description covers the core behavior, return value, and key constraint (no writing to vault). The absence of an output schema is mitigated by the clear statement that it returns a draft.

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% for both parameters, so the schema already documents slug and project_path adequately. The description adds no additional parameter semantics, making a baseline score of 3 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 the tool scans a git repo and generates a draft context.md, with a specific verb and resource. It distinguishes itself from write tools by explicitly noting it does NOT write to the vault.

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

Usage Guidelines4/5

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

The description implies usage for drafting context that requires human review and explicitly notes it does not write to the vault, but it does not name specific alternatives or provide explicit when-to-use/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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