Show Inbox Agent Bot
get_inbox_agent_botShow Inbox Agent Bot. See if an agent bot is associated to the Inbox.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ID of the inbox | |
| fields | No | Optional: return only these fields of each record. |
get_inbox_agent_botShow Inbox Agent Bot. See if an agent bot is associated to the Inbox.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ID of the inbox | |
| fields | No | Optional: return only these fields of each record. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds nothing beyond that — notably it does not say what happens when no bot is associated (null return vs. error) despite the 'see if' framing that makes this the key behavioral question.
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?
Two short sentences that are front-loaded, but the first sentence is a verbatim restatement of the title, so one of the two sentences carries almost no information. Efficient in length, weak in information density.
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 simple read tool with full annotation coverage and a fully documented schema, the essentials are present. The gap is the return semantics: whether the response is a bot object or an empty/null result when no bot is associated is not stated and no output schema exists to compensate.
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%, so the schema already documents both 'id' (inbox ID) and 'fields' (field projection). The description supplies no additional parameter meaning, so the baseline of 3 applies.
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 states a specific verb (Show) and resource (Inbox Agent Bot) and clarifies the intent as checking whether an agent bot is associated with an inbox. However, it does not differentiate itself from close siblings such as get_details_of_a_single_account_agent_bot, list_agent_bots, or set_inbox_bot, so an agent still has to infer the distinction.
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 explicit when-to-use guidance, no mention of the counterpart mutation (set_inbox_bot), and no exclusions or prerequisites. The phrase 'See if an agent bot is associated' hints at the use case, but nothing routes the agent between this and other bot-related tools.
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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