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Create OAuth token

create-oauth-token

Exchange password grant credentials via POST /oauth/token. client_id and client_secret come from POST /v1/login.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNoOAuth scope string. Use empty string when unused.
passwordNoAccount password. Defaults to the session password.
usernameNoAccount email. Defaults to the session email.
client_idYesOAuth client id returned by login
client_secretYesOAuth client secret returned by login

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?

The description discloses the operation type ('Exchange password grant credentials') which aligns with readOnlyHint=false, but does not add rich behavioral context beyond that, such as token expiration, refresh semantics, or side effects. Annotations already signal non-idempotency and non-destructiveness, so the description adds modest value.

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 two concise sentences, front-loaded with the action and endpoint, and the second sentence adds necessary credential-source context. No wasted words.

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?

Given the tool's moderate complexity (5 params, output schema present), the description is fairly complete: it states the action, endpoint, and where required credentials come from. The output schema covers return values, so lack of description there is fine. Minor gap: it doesn't explicitly frame the overall auth flow or token usage, but that is inferred.

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 coverage is 100% with all parameters described. The tool description mostly repeats the source of client_id/client_secret already in the schema, and does not add meaning for scope, username, or password beyond their existing schema descriptions. Baseline 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 uses the specific verb 'Exchange' and identifies the resource as 'password grant credentials via POST /oauth/token', clearly distinguishing it from login-account and other sibling tools. It also explains the source of client_id/client_secret, which ties it to the login flow.

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 implies that a prior login must have occurred ('client_id and client_secret come from POST /v1/login') but does not explicitly state when to use this tool vs alternatives or provide any exclusions. It gives context but lacks explicit usage guidance.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

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