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add_monitor

Idempotent

Enrolls a Spotify playlist in automated cloud monitoring for daily follower snapshots, growth trend analysis, and inorganic spike alerts. Allows up to 25 monitored playlists per Premium account. Adding a playlist that is already monitored leaves its existing name and track_id unchanged; to change them, call remove_monitor first.

Input Schema

NameRequiredDescriptionDefault
nameNoOptional custom display label for the monitor.
playlistYesSpotify playlist URL, URI, or 22-character playlist ID to monitor.
track_idNoOptional 22-character Spotify track ID to track placement status alerts for.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Beyond the annotations, the description discloses a premium account prerequisite, a per-account quota of 25 monitors, and the precise idempotent behavior for already-monitored playlists (name and track_id are preserved). It does not say what happens when the quota is exceeded or what the tool returns, which keeps it from a 5.

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?

Three sentences, front-loaded with purpose, then limits, then the mutation caveat. Every sentence carries information that changes how the tool is used.

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 non-read-only, idempotent enrollment tool with no output schema, the description covers purpose, prerequisite, quota, and duplicate-handling behavior adequately. It is only missing error-path behavior at the quota boundary and confirmation of what the call returns.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds meaning the schema does not: it clarifies that name and track_id on an existing monitor are left untouched rather than overwritten. That is a real semantic distinction an agent could otherwise get wrong.

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 and resource ("Enrolls a Spotify playlist") and names the concrete outcomes: daily follower snapshots, growth trend analysis, and inorganic spike alerts. That scope clearly separates it from siblings like list_monitors, check_playlist, and remove_monitor.

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?

It implies the right context (enrolling for ongoing monitoring) and supplies a hard constraint of 25 playlists per Premium account, so an agent can judge eligibility. It also routes the agent to remove_monitor when it needs to change an existing monitor's name or track_id. It stops short of an explicit when-not-to-use statement or a named alternative for one-off checks.

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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