getTextMessage
Retrieve text message details by ID from Follow Up Boss CRM to access communication records and manage customer interactions.
Instructions
Get a text message by ID
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Text message ID |
Retrieve text message details by ID from Follow Up Boss CRM to access communication records and manage customer interactions.
Get a text message by ID
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Text message ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It implies a read operation ('get'), but doesn't disclose behavioral traits like authentication needs, rate limits, error responses (e.g., if ID is invalid), or whether it returns full message content or just metadata. This is inadequate for a 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste—'Get a text message by ID' is front-loaded and appropriately sized for a simple retrieval tool. Every word contributes to the core purpose without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (1 parameter, 100% schema coverage) but lack of annotations and output schema, the description is incomplete. It doesn't explain what is returned (e.g., message content, sender info), error cases, or any behavioral context, leaving gaps for an AI agent to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with the parameter 'id' documented as 'Text message ID' in the schema. The description adds no additional meaning beyond this, such as format examples or constraints. With high schema coverage, the baseline score of 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Get a text message by ID' clearly states the action (get) and resource (text message), but it's vague about scope—it doesn't specify if this retrieves metadata, content, or full details. It distinguishes from siblings like 'createTextMessage' or 'listTextMessages' by focusing on retrieval by ID, but lacks specificity on what 'get' entails.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a valid ID), contrast with 'listTextMessages' for bulk retrieval, or specify error handling. The description alone offers no usage context.
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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