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project_set_metadata

Update project metadata tags—artist, album, track title, track number, year, or comments—by passing values for only the fields to change. Clear any field by sending an empty string.

Instructions

Set one or more project metadata tags. Only the fields you pass are changed - pass an empty string to clear a field.

Args: artist: Artist name. track_title: Track title. album: Album title. track_number: Track number. year: Year. comments: Comments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo
albumNo
artistNo
commentsNo
track_titleNo
track_numberNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure. It non-obviously states that only supplied fields are changed and that an empty string clears a field, which is essential. It does not clarify null vs empty semantics or return value, but these are minor for a setter.

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 compact and front-loaded: main action first, then the partial-update rule, then a flat Args list. No filler and each line earns its place.

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?

For a six-parameter tool with no annotations and no output schema, the description gives the core behavior, partial update semantics, clearing convention, and all fields. Missing null handling and return behavior are minor for a simple setter.

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 description coverage is 0%, so the description is responsible for parameter meaning. It lists every parameter but mostly restates the parameter names ('Artist name.', 'Track title.'). The partial-update rule applies globally, but no specific formats for track_number, year, or null handling are provided.

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 opens with a specific verb+resource: 'Set one or more project metadata tags' and enumerates all six fields. It is clearly distinguished from sibling project_get_metadata by the set vs get verb.

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 conveys the key usage context: partial update, only passed fields are changed, and empty string clears a field. However, it does not mention alternatives or exclusions, so the agent must infer when to choose this over sibling like project_get_metadata.

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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