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sciple-idp

Sciple Platform MCP Server

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by sciple-idp

athena_get_results

Fetch the next 1000-row page of results from a successful Athena execution. Provide the execution ID and an optional next token to continue paginating through query output.

Instructions

Fetch the next 1000-row page of results from a SUCCEEDED execution.

Args: execution_id: The Athena execution id. next_token: Optional page token returned by a previous call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
next_tokenNo
execution_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full behavioral burden and handles it well: it discloses the page size (1000 rows), the pagination mechanism via next_token, and the required execution state (SUCCEEDED). It does not mention failure modes or error behavior, but the output schema covers return structure.

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 compact and front-loaded. The core behavior is stated in one clear sentence, and the parameter details are presented in a straightforward structured list without redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description provides everything needed to invoke the tool correctly: the source execution, the page size, the optional token, and parameter explanations. The presence of an output schema covers return-value expectations, so no additional return-format details are required.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description's Args section compensates by explaining execution_id as 'The Athena execution id' and, more importantly, clarifying next_token as an 'Optional page token returned by a previous call.' This adds meaningful pagination semantics beyond the schema's bare type/title/default.

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 states a specific verb ('Fetch'), a precise resource (result rows from an Athena execution), and a concrete behavioral detail ('next 1000-row page'). It clearly differentiates this from sibling tools like athena_run_query (starts a query) and athena_get_execution_status (checks status) by narrowing scope to results of a SUCCEEDED execution.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives a clear precondition ('from a SUCCEEDED execution') and explains the pagination flow via next_token. It does not explicitly name alternatives like athena_get_execution_status for checking whether an execution succeeded, but the intended usage context is strongly implied and unambiguous.

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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