Skip to main content
Glama

update_metadata

Update score metadata fields (title, subtitle, composer, lyricist, copyright) and return the modified MusicXML. Only explicitly provided fields are changed.

Instructions

Update score metadata fields and return the modified MusicXML.

Only fields explicitly provided (non-None) are changed.

Args: score_b64: Base64-encoded score file. input_suffix: Input extension, e.g. "mscz". title: Work title. subtitle: Movement title / subtitle. composer: Composer name. lyricist: Lyricist name. copyright: Copyright / rights string.

Returns: Modified MusicXML as a UTF-8 string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
score_b64Yes
input_suffixYes
titleNo
subtitleNo
composerNo
lyricistNo
copyrightNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description explicitly states that only non-None fields are changed, implying a partial update behavior. It also specifies the return type (modified MusicXML as UTF-8 string). Given no annotations are provided, this level of detail adequately conveys the tool's behavioral traits without contradiction.

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 exceptionally concise: a one-line summary, a key behavioral rule, a clear Args list, and a Returns line. Every sentence earns its place, and the structure front-loads the most critical information. There is no redundant text.

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?

Considering the tool's complexity (7 parameters, partial update logic, output type) and lack of annotations, the description covers the essential aspects: what it does, which fields are updated, and what it returns. It does not cover error handling or input validation, but for a metadata update tool, this is sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. While the Args list names each parameter and gives brief explanations (e.g., 'Base64-encoded score file'), it does not elaborate on expected formats, constraints, or relationships between parameters. The partial update note adds value, but overall the parameter descriptions remain superficial.

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 that the tool updates score metadata fields and returns the modified MusicXML. The verb 'update' plus the resource 'metadata' is specific. It is distinct from sibling tools like 'apply_style' or 'convert_score' which handle other aspects.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, typical use cases, or scenarios where another sibling tool would be more appropriate. This omission leaves the agent without usage direction.

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/strongbeen04/MUSESCORE-MCP'

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