Get Prompt Query Fanout
get_prompt_query_fanoutGet query fanout list for a prompt.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | ||
| endAt | Yes | ||
| regions | No | ||
| startAt | Yes | ||
| pageSize | No | ||
| promptId | Yes | ||
| platforms | No |
get_prompt_query_fanoutGet query fanout list for a prompt.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | ||
| endAt | Yes | ||
| regions | No | ||
| startAt | Yes | ||
| pageSize | No | ||
| promptId | Yes | ||
| platforms | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only indicates that the tool retrieves data ('Get'), but provides no details about pagination, filtering, output format, or other behaviors. This is minimal transparency beyond the name.
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, concise sentence with no filler or repetition. It is efficiently structured, though extremely sparse, earning a high score for conciseness but not for richness.
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 tool with seven parameters, no output schema, and no annotations, this description is severely incomplete. It fails to explain what a 'query fanout list' is, what the parameters do, or what the response contains, leaving the agent with insufficient information to invoke the tool 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 0%, and the description does not compensate by explaining any of the seven parameters. Only 'for a prompt' hints at the promptId parameter; startAt, endAt, page, pageSize, platforms, and regions are left completely unexplained.
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 uses a specific verb ('Get') and resource ('query fanout list for a prompt'), which clearly states the tool's basic action and scope. It differentiates from sibling tools by referencing the unique 'query fanout' concept, though the term itself is not defined.
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 about when to use this tool versus alternatives, nor any exclusions or prerequisites. The description only implies usage for retrieving a query fanout list for a prompt, without contextualizing against sibling analytics 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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