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Save a visitor assistant knowledge note

save_widget_knowledge

Create or update one reviewed manual visitor widget/voice knowledge note through the indexing service. Read list_widget_knowledge first for an update and use its exact id; omit id only to create. Other notes stay unchanged. Requires approval; never claim saved while pending or retrieval verified without testing. Uploads, allocation and deletion remain in knowledge settings.

Input Schema

NameRequiredDescriptionDefault
entryYes
site_idYes
user_goalNoOptional: the user's goal behind this call, in one short sentence of plain words (e.g. "add a page so customers can book tables"). No names, emails or other personal details.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / user_goal
      Added value: +{
      +  "description": "Optional: the user's goal behind this call, in one short sentence of plain words (e.g. \"add a page so customers can book tables\"). No names, emails or other personal details.",
      +  "type": "string"
      +}
  2. Added

TDQS

A4.4/5.0
Behavior4/5

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

The annotations already establish that this is a non-read-only, non-destructive, non-idempotent, closed-world operation. The description adds meaningful behavioral context: approval is required, other notes remain unchanged, and the agent must not claim a save or verified retrieval while pending or untested.

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?

The description is front-loaded, dense, and free of repeated or decorative language. Each sentence carries operational value: create/update scope, id routing, approval state, pending behavior, and out-of-scope operations.

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?

For a mutation tool with no output schema, it covers the most important call context: indexing scope, update routing, approval, pending state, and exclusion of settings operations. Minor gaps remain around entry field meanings, especially is_active, and what the approval workflow returns.

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 only 33%, so the description should compensate more. It does clarify the key id semantics for update versus create, but it leaves entry.title, entry.content, entry.is_active, and site_id meaning mostly to the schema.

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 states a specific create/update action for a clearly scoped resource: one reviewed manual visitor widget/voice knowledge note through the indexing service. It also distinguishes this tool from sibling list_widget_knowledge and from knowledge settings operations.

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

Usage Guidelines5/5

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

It gives explicit routing: read list_widget_knowledge first for an update, use the exact id, and omit id only when creating. It also states that uploads, allocation, and deletion belong in knowledge settings, making the boundary 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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