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DropTrack Browse Submission Opportunities

droptrack_browse_submission_opportunities
Read-only

Browse the public DropTrack submission directory for labels, DJs, bloggers, and playlist curators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum opportunities to return
cursorNoPagination cursor offset
genreSlugsNoOptional public directory genre slugs, such as house, pop, hip-hop, or indie
accountTypeNoSubmission opportunity category to browserecord-label
searchQueryNoOptional company/name search query
countryCodesNoOptional ISO-2 country codes
countrySlugsNoOptional public directory country slugs
guaranteedListenNoOnly include opportunities with guaranteed listen/payment enabled

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoStructured DropTrack result returned by this tool

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds useful scope with 'public' and lists the directory categories, but provides no behavioral detail such as pagination behavior, authentication, or rate limits; the bar is lower due to annotations, so this is adequate but minimal.

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?

A single sentence with no filler; the action and resource come first. It is appropriately brief for a tool whose full parameter detail lives in the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only browse tool with fully documented parameters and an output schema, the description is mostly sufficient, but it does not address the closely related sibling get_track_submission_opportunities or explain when the public directory tool is preferred. That missing routing context is a clear gap.

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 100%, so the schema fully documents all 8 parameters. The description only restates the accountType categories (labels, DJs, bloggers, playlist curators) that already appear in the schema, adding no new parameter-level meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'Browse' and names the resource: the public DropTrack submission directory, plus the entity types included. It is clear, but it doesn't explicitly distinguish itself from the sibling droptrack_get_track_submission_opportunities, so it stops short of full differentiation.

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 the tool is for browsing a public directory, which gives some context, but it never states when an agent should choose this over get_track_submission_opportunities or other list tools, nor any exclusions. The use case is inferred from the verb and resource rather than explicitly specified.

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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TDQS

B3.4/5.0
Disambiguation3/5

Most tools target distinct resources and actions, but several clusters are easy to confuse: get_track_analysis vs get_track_analytics vs get_track_tags, plus analyze_audio/request_track_tagging/auto_tag_tracks overlap in the audio-analysis/tagging space. The descriptions do help separate them, so careful agents can disambiguate, but the naming alone creates real misselection risk.

Naming Consistency4/5

All tools share the droptrack_ prefix, use snake_case, and follow a verb-first noun pattern, with list for collections and get for single items. Minor inconsistencies exist—add_contact vs create_contact_list, browse vs list, auto_tag_tracks—but the overall convention is predictable and readable.

Tool Count2/5

At 55 tools this is far beyond the recommended 3-15 range and well over the 25+ threshold. Many tools are near variants of each other, especially company-level vs label-level ads, analytics, and wallet tools, inflating the surface area and making selection harder.

Completeness3/5

The set covers many domains and some workflows are complete, such as album art generation/polling/acceptance/deletion and track tagging request/poll/apply. However, core lifecycle gaps remain: no update or delete for campaigns, contacts, or contact lists, no playlist mutation tools, and AI press-release/bio workflows end at polling without a save or publish step.