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maid_list_manifests

Find all manifests that reference a specific file to understand its creation, edit history, and context before making changes.

Instructions

List manifests that reference a file using MAID Runner.

When to use:

  • Before editing: Check if a file already has manifests

  • Understanding history: See how a file has evolved through manifests

  • Planning edits: Find related manifests to understand context

Result categories:

  • created_by: Manifests where file is in creatableFiles

  • edited_by: Manifests where file is in editableFiles

  • read_by: Manifests where file is in readonlyFiles

Tips:

  • Use before creating a new manifest for an existing file

  • If file is in creatableFiles, it was first created by that manifest

  • Use --use-manifest-chain in maid_validate for files with history

Args: file_path: Path to the file to check manifest_dir: Directory containing manifests (default: "manifests")

Returns: ListManifestsResult with manifest information

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
manifest_dirNomanifests

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
total_manifestsYes
created_byYes
edited_byYes
read_byYes
Behavior3/5

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

No annotations are provided, so the description carries the burden. It explains result categories (created_by, edited_by, read_by) but does not mention any side effects, permissions, or rate limits. For a read-only listing tool, this is acceptable but not thorough.

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 concise (about 10 lines) and well-structured with headings for purpose, usage, result categories, tips, and arguments. Every sentence adds value, and the most important information is front-loaded.

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?

The description is reasonably complete for a list tool: it explains what the tool returns (ListManifestsResult) and categorizes results. The presence of an output schema is acknowledged. However, it could mention pagination or handling of missing files.

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 input schema has 0% description coverage, but the description's Args section adds brief but sufficient meaning: 'file_path: Path to the file to check' and 'manifest_dir: Directory containing manifests (default: manifests)'. This compensates for the schema gap.

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 'List manifests that reference a file', specifying both the action (list) and the resource (manifests referencing a file). This is distinct from sibling tools like maid_files or maid_validate, making it easy for an agent to select the correct tool.

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 provides explicit 'When to use' bullets covering before editing, understanding history, and planning edits. While it does not state when NOT to use or name specific alternatives, the context is clear and helpful for an agent.

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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