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DropTrack Get Submission Results

droptrack_get_submission_results
Read-only

Review the signed-in company's durable submissions for one owned track, with submission-linked receiver play-event and comment counts. Counts are not unique humans, acceptance, or placement; comments may include your own replies. This is track-level history, not version attribution. Suggest next steps without sending or scheduling follow-ups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum submission records per page
cursorNoPagination offset from the previous result
trackIdYesOwned DropTrack track ID whose submission results to review

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoStructured DropTrack result returned by this tool

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint, non-destructive, closed-world). The description adds substantive behavioral caveats beyond annotations: counts are not unique humans, may include your own replies, and this is track-level history not version attribution. It doesn't describe pagination or return format, but the caveats add meaningful value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is packed but somewhat dense, with clauses about what counts do not mean. It's front-loaded with the core purpose but then buries several caveats in a run-on style. It's efficient but could be structured more clearly.

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 a read-only tool with an output schema, the description provides useful context about what the results mean (non-unique counts, inclusion of own replies) and the scope (track-level, not version). It doesn't mention pagination behavior, but the output schema likely covers returns. Overall complete enough for an agent.

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 coverage is 100%, with descriptions for all three parameters, so the schema handles the semantics. The description doesn't elaborate on parameter behavior beyond the schema, which is the baseline for high coverage.

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?

States a specific verb (Review) and resource (submissions for one owned track), and clarifies scope (track-level history). It's reasonably distinguishable from siblings like get_track_submission_opportunities, though it doesn't explicitly name an alternative.

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 it's for reviewing submission results but offers no explicit when-to-use or when-not guidance, and doesn't name alternatives it might be confused with. The final clause 'Suggest next steps without sending or scheduling follow-ups' hints at a boundary but isn't a usage guideline.

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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