get_feedback_and_csat
Get visitor CSAT scores and feedback comments.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes |
Get visitor CSAT scores and feedback comments.
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden, yet it discloses only that data is retrieved. Nothing about whether this is read-only, whether results are paginated or date-bounded, how CSAT scores are represented (average, individual ratings, distribution), or whether empty feedback is included.
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?
One short, front-loaded sentence with no filler and no wasted clauses. Its brevity is efficient rather than bloated; the issue is under-specification, not verbosity.
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?
For a data-retrieval tool with no annotations, no output schema, and an entirely undocumented parameter, the description should establish scope, return shape, and any filtering behavior. None of that is present, leaving the agent unable to predict what comes back or how much data to expect.
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 0% and the single required parameter (bot_id) is never mentioned in the description. The word 'visitor' hints that results are scoped to a bot's visitors but does not tie those results to the bot_id argument, so the description adds little meaning beyond the schema.
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?
States a specific verb ('Get') and a specific resource pair ('visitor CSAT scores and feedback comments'), which is clearly separable from siblings like get_conversation_transcript or analyze_sentiment_trends. It stops short of stating scope (per-bot? per-conversation? aggregated?) or naming a sibling it is not, which keeps it out of 5 territory.
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?
There is no when-to-use guidance, no prerequisites, and no alternatives named despite many adjacent analytics tools in the sibling list (get_bot_performance_scorecard, analyze_sentiment_trends, analyze_chatbot). The agent must infer from the name alone whether to call this or a broader analytics tool.
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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