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Dribbble: Get shot stats

dribbble_get_shot_stats
Read-only

Dribbble: Views, likes, saves and comment count of one of your shots. Returns the engagement numbers Dribbble shows for one of your shots: views, likes, saves and the number of comments. It works for your own shots only. The numbers are the ones Dribbble shows at the time of the call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shot_idYesShot ID from list_shots.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already establish read-only, non-destructive behavior, but the description adds real value beyond them: ownership restriction (own shots only), point-in-time snapshot semantics ('the numbers Dribbble shows at the time of the call'), and the Cotlet API key access requirement. These are meaningful operational constraints an agent would otherwise not know.

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 core fact is front-loaded, but the first and second sentences restate the same metric list twice ('Views, likes, saves and comment count' / 'views, likes, saves and the number of comments'), which is redundant. The remaining sentences earn their place; the duplication does not.

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?

With no output schema, the description compensates by enumerating the returned fields, and it covers ownership scope, freshness, and auth. For a single-parameter read tool this is close to complete; only an explicit pointer to the sibling analytics tool is missing.

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% and the schema itself documents shot_id with a cross-reference to list_shots, so the schema carries the parameter burden. The description adds no format, source, or fallback detail for shot_id, so the baseline 3 applies.

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 names a specific resource (a single shot) and enumerates the exact metrics returned (views, likes, saves, comment count), so an agent can tell it apart from a broader analytics tool. The 'your own shots only' scope further disambiguates it from account-level siblings like dribbble_get_pro_analytics, though no sibling is named explicitly.

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?

Usage is only implied through the constraint 'It works for your own shots only' and the auth note. There is no explicit statement of when to prefer this over dribbble_get_pro_analytics or other stats tools, and no exclusion guidance beyond the ownership restriction.

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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