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Save agent version

save-agent-version

Create an instruction version via POST /v1/update-agent. Send the full agent text plus chat_flow JSON, not a partial chunk.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
editNoSet true when updating an existing draft version
nameYesVersion label shown in the dashboard
soulNoSoul instruction section
agentYesFull agent instruction markdown or text
bot_idYesNumeric bot id
memoryNoMemory instruction section
identityNoIdentity instruction section
chat_flowYeschat_flow JSON string stored on the bot
user_infoNoUser info instruction section
version_idNoExisting version id when editing

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesJSON or plain text body returned by the Botsify HTTP API

TDQS

A4/5.0
Behavior3/5

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

The annotations already indicate this is a write operation (readOnlyHint=false), and the description adds the useful constraint of requiring full agent text and chat_flow JSON. However, it does not disclose that the tool can also update existing versions (via the 'edit' and 'version_id' parameters), which is a behavioral nuance not covered by annotations.

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 consists of two concise sentences that front-load the action and then provide a critical usage constraint. Every word earns its place, with no redundancy or filler.

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?

The tool has 10 parameters and an output schema, so the schema covers return values and parameter details. The description captures the core purpose and key constraint (full payload), but does not explicitly clarify the dual create/edit behavior. This is a minor gap given the schema already documents the 'edit' and 'version_id' fields, making it sufficiently complete for most use cases.

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 100%, so the baseline is 3. The description adds value by explicitly stating that 'agent' and 'chat_flow' must be sent in full, not as partial chunks, which clarifies the most important parameter relationship beyond the schema's individual descriptions.

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 tool's purpose: 'Create an instruction version via POST /v1/update-agent.' It uses a specific verb (Create) and resource (instruction version), and the added 'Send the full agent text plus chat_flow JSON, not a partial chunk' distinguishes it from sibling tools like patch-instruction-section, which likely handles partial updates.

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 provides clear context that this tool is for creating instruction versions and emphasizes sending the full payload rather than partial chunks. However, it does not explicitly name alternatives or state when not to use this tool, making the usage guidance implied rather than explicit.

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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TDQS

B3.4/5.0
Disambiguation2/5

Several tools have overlapping purposes, such as send-converse-message, send-inbox-message, send-user-message, and stream-user-message, which all deliver messages but with subtle differences. Similarly, list-bot-messenger-users and list-messenger-users both fetch messenger users, and start-builder-chat, clear-builder-conversation, and store-builder-response all manage builder chat state. Descriptions help, but the boundaries are still confusing.

Naming Consistency3/5

Tool names consistently use hyphenated lowercase verb-noun format, but the verbs and nouns vary significantly in specificity. For example, 'get-query-response' vs 'query-mcp-agent' vs 'stream-user-message' all imply querying but with different styles. The pattern is readable but not highly predictable, with some names like 'change-user-activation' and 'patch-instruction-section' deviating from the simple verb_object structure.

Tool Count2/5

With 44 tools, this server feels overloaded. The breadth covers bots, messaging, templates, whitelabel, and versions, but many tools could be consolidated (e.g., multiple message-sending variants). The count exceeds the 25-tool threshold for 'too many', making it difficult for agents to select the right tool without extensive context.

Completeness4/5

The tool set covers the main lifecycle: agent creation, versioning, deployment, deletion, messaging, conversation history, user management, template management, and whitelabel operations. Minor gaps exist, such as missing delete for WhatsApp templates or update operations for user attributes, but these are workable edge cases. Core workflows are well supported.

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