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update_chatbot

Update settings for an existing chatbot (only passed fields are modified).

Input Schema

NameRequiredDescriptionDefault
nameNo
bot_idYes
strict_modeNo
widget_styleNo
primary_colorNo
selected_modelNo
welcome_messageNo
response_languageNo
system_instructionsNo
lead_capture_enabledNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With zero annotations, the description carries the full burden and does contribute one genuinely useful trait: "only passed fields are modified" discloses PATCH-like semantics, so unset nullable fields are preserved. It says nothing about permissions, whether the updated bot is returned, uniqueness constraints on name, or whether changes are reversible — a substantial gap for a mutation tool with no annotation coverage.

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?

A single front-loaded sentence with zero filler; the scoping constraint is placed immediately after the purpose. Nothing redundant to remove.

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

Completeness2/5

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

A 10-parameter mutation tool with 0% schema coverage, no annotations and no output schema is served by only one sentence. An agent cannot tell which fields matter, what valid values look like, or what comes back after the call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 10 parameters — only bare titles and nullable defaults. The description adds no meaning for any of them (no format for primary_color, no allowed values for selected_model or response_language, no explanation of strict_mode or widget_style), and never mentions that bot_id is required.

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?

Clear verb+resource ("Update settings for an existing chatbot") so an agent knows exactly what operation is performed. However, it does no sibling differentiation despite overlapping siblings like update_chatbot_instructions and update_conversation_flow, and `system_instructions` being a parameter here makes that ambiguity real.

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?

No guidance on when to use this tool versus alternatives such as update_chatbot_instructions or clone_chatbot, and no prerequisites stated. The only usage-adjacent hint is the partial-update parenthetical, which is behavioral rather than a routing rule.

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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