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Rename agent

rename-agent
Idempotent

Rename an agent via POST /v1/update-bot-name using the numeric bot id and the new display name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bot_idYesNumeric bot id of the agent to rename
bot_nameYesNew display name for the agent

Output Schema

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

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, which communicates the write nature and safety. The description adds that the operation uses POST, but it does not disclose additional behavioral details such as permissions required, side effects, or reversibility. With annotations covering the core safety profile, this is acceptable but not enriched.

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 a single sentence that front-loads the action and mentions the endpoint and required parameters. There is no wasted wording, and it is appropriately sized for the tool's simplicity.

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?

This is a simple rename operation with only two well-documented parameters and an output schema. The description provides the endpoint and parameter roles, which is sufficient for typical usage. It does not mention error cases or prerequisites, but these are not critical given the simplicity and available structured data.

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?

The input schema fully documents both parameters with clear descriptions: bot_id is the numeric id, bot_name is the new display name. The description simply restates this ('using the numeric bot id and the new display name'), adding no new meaning beyond the schema. With 100% schema coverage, the baseline of 3 is appropriate.

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 action: 'Rename an agent via POST /v1/update-bot-name'. It identifies the resource (agent), the specific verb (rename), and even the endpoint. This distinctly separates it from sibling tools like create-agent or delete-agent, which perform different operations on agents.

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 explains what the tool does but does not explicitly state when to use it versus alternatives. The action of renaming is self-evident, and the sibling list suggests other agent operations, but no direct comparison or exclusion is provided. This makes the usage context 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.

Resources