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zackscriven

ghl-mcp-server-v2

by zackscriven

ghl_social_fetch_slots

Retrieve paginated slot details (scheduledDateTime, isSkipped) for social media queue items, supporting both draft and live states.

Instructions

Fetch slot information for queue items Returns paginated slot information (scheduledDateTime, isSkipped) for queue items. Pass sessionId to get slots for draft items, or omit for live items. Call this after mutations to refresh slot data. Endpoint: POST /social-media-posting/category/queues/{queueId}/slots (Version header: v3; source: v3/social-planner-v3.json) OAuth scopes: socialplanner/category.readonly

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesRequest body (schema carried verbatim from the official OpenAPI spec).
queueIdYes
Behavior3/5

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

Annotations already indicate readOnlyHint=false, openWorldHint=true, etc. The description adds endpoint and OAuth scopes but doesn't disclose potential side effects or beyond what annotations provide. No contradiction.

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 focused sentences plus endpoint info. Front-loaded with purpose, then key usage. No redundant information.

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?

Covers purpose, parameters, and basic return fields (scheduledDateTime, isSkipped). Lacks details on pagination metadata, error handling, or full response structure, which is significant given no output schema.

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 50%, but the description adds meaning to sessionId (draft vs live) and advises calling after mutations. This supplements the schema's parameter descriptions effectively.

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 clearly states the verb 'fetch' and the resource 'slot information for queue items'. It specifies the return fields (scheduledDateTime, isSkipped) and distinguishes itself from sibling tools like ghl_social_fetch_queue_items by focusing on slots.

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?

Provides explicit guidance on when to pass sessionId (draft items) vs omit (live items) and recommends calling after mutations to refresh data. Lacks exclusion or alternative tools, but the context is clear.

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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