Skip to main content
Glama

rename

Use AI content analysis to generate descriptive filenames and apply them to files. Preview changes before applying.

Instructions

Rename files using AI content analysis. Sends files to the renamed.to API which analyzes content and returns intelligent filenames.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoPreview the rename without writing any files
formatNoFormat template for the new filename (e.g. "{date} - {title}")
filePathsYesAbsolute or relative paths to the files to rename
outputDirNoDirectory to write renamed files to. Defaults to the source directory
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 of behavioral disclosure. It usefully reveals that files are sent to an external API, which is a key behavioral trait. However, it does not mention dry-run behavior, handling of original files, or output directory semantics, leaving some gaps.

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 two sentences, front-loading the core purpose and adding the API detail. Every word contributes value, with no redundancy or filler.

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?

Given no annotations and no output schema, the description provides essential context by naming the external service and explaining the AI analysis. It covers the tool's unique behavior well, though it omits potential side effects like network requirements or preview modes, but these are not strictly necessary given the schema coverage.

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 covers all parameters with descriptions (100% coverage), so the description adds little to parameter understanding. It merely reinforces the purpose without providing additional semantic detail beyond the schema's existing descriptions.

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's function: renaming files via AI content analysis via the renamed.to API. The verb 'Rename' and the resource 'files' are specific, and the mention of AI analysis distinguishes it from sibling tools like pdf_split, watch, and status.

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

Usage Guidelines3/5

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

The description implies usage by specifying 'using AI content analysis' but does not explicitly state when to use this tool versus alternatives or when not to use it. No exclusions or alternative tools are mentioned, leaving usage somewhat inferred.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/renamed-to/mcp.renamed.to'

If you have feedback or need assistance with the MCP directory API, please join our Discord server