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Dutify

hub_get_custom_prompt

Read-onlyIdempotent

Get the workspace's custom prompt — house-style instructions that, together with each participant's own per-call prompt, notes and note template, form the instruction set their version of the summary, key points, action items and enhanced notes is generated from (task generation too). Returns { customPrompt: string | null }. Requires workspace-settings:read scope.

Input Schema

NameRequiredDescriptionDefault
accountNoMulti-account auth only: name of the account from X-Dutify-Accounts to use for this call. Ignored in single-account mode (X-API-Key header). When multiple accounts are configured and this is omitted, the call fails with ACCOUNT_REQUIRED listing the available names. list_accounts never requires a selection.
workspaceNoWorkspace identifier or exact name for this call. Overrides the configured workspace. For personal keys, discover candidates with list_workspaces and select explicitly. Does not change other calls or expand a workspace key's access.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive and closed-world, so the safety profile is covered; the description adds genuinely useful non-schema context: the required workspace-settings:read scope and the fact that customPrompt may be null. It does not describe failure modes for insufficient scope, but the added auth and nullability detail clears the bar for annotations-present tools.

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

Conciseness4/5

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

Front-loaded with the verb and resource, and every clause carries information (instruction-set composition, return shape, scope requirement). The middle clause is long and parenthetical-heavy, making it denser than needed, but there is no filler.

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

Completeness5/5

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

There is no output schema, and the description compensates by declaring the exact return type including nullability. Combined with the auth scope and the explanation of how the value is consumed, an agent has everything needed to call and interpret this tool.

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% and both the account and workspace parameters are thoroughly documented in the schema, including multi-account fallback behavior and workspace override rules. The description adds nothing about parameters, which is acceptable here but caps it at the baseline.

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?

States a specific verb and resource ("Get the workspace's custom prompt") and immediately defines what that resource is — house-style instructions feeding summary/key-point/action-item/enhanced-note generation. It also states the return shape, and the phrase "each participant's own per-call prompt" implicitly separates it from the per-call sibling tools.

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 gives solid context about what the value is and what consumes it, which implies when an agent would want it (inspecting house style before setting or reasoning about generated summaries). However, it never names an alternative explicitly or states a when-not condition versus hub_get_workspace, hub_set_custom_prompt, or find_my_workspace — usage must be inferred.

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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