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Get Analytics Getwatchers

hgr_get_analytics_getwatchers
Read-onlyIdempotent

Dedicated HGRApi tool for GET api/Analytics/GetWatchers. This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller. HGRApi functional documentation: Purpose: Provides the GET get watchers operation in current-channel watcher analytics. Use when: Use it when a client needs to run the get watchers operation for current-channel watcher analytics. Input: [FromQuery] minutes: int?. Header channel: current ChannelOAuthId. Output: Returns the result or applies the effect of the get watchers operation. Search terms: analytics getwatchers. Requires HGRApi Header channel / ChannelOAuthId resolved internally.

Input Schema

NameRequiredDescriptionDefault
minutesNoHGRApi query parameter minutes.
channelOAuthIdYesChannelOAuthId returned by hgr_list_channels for the selected visible store.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered. The description adds that the channel/ChannelOAuthId is resolved internally and that it is a fixed, non-generic endpoint, but it says nothing about return content, time window semantics of 'minutes', or pagination. The 'applies the effect' phrasing is boilerplate, not insight.

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

Conciseness2/5

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

The description repeats 'get watchers operation' three times across purpose, usage and output, and pads with boilerplate ('dedicated HGRApi tool', 'explicit tool with a fixed endpoint', 'Search terms'). It is front-loaded but bloated with low-value scaffolding.

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?

With an output schema present and full param coverage, the mechanical call path is complete. However, the key semantics an agent needs — what 'watchers' actually measures and how 'minutes' scopes the result — are never explained, leaving a gap for a tool whose value is in interpreting the analytics.

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 already documents both params, including channelOAuthId's provenance from hgr_list_channels. The description only echoes 'minutes: int?' and that channel is a header, adding little. Baseline 3 is appropriate given the schema does the work.

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

Purpose3/5

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

It states a specific verb+resource (GET watchers) and adds that it operates over 'current-channel watcher analytics', but the core phrasing 'Provides the GET get watchers operation' largely restates the name, and it never names the nearest siblings (hgr_get_analytics_beingwatched, hgr_get_analytics_productsnotbeingwatched) to show how it differs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'Use when' clause is circular: 'Use it when a client needs to run the get watchers operation for current-channel watcher analytics' just re-describes the tool. No exclusions and no routing to the adjacent analytics siblings that clearly compete for the same intent.

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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