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nolleh
by nolleh

stream_query

Execute SQL queries on Vertica and retrieve results in batched, concatenated strings to efficiently manage large datasets.

Instructions

Execute a SQL query and return the results in batches as a single string.

Args:
    ctx: FastMCP context for progress reporting and logging
    query: SQL query to execute
    batch_size: Number of rows to fetch at once

Returns:
    Query results as a concatenated string

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
batch_sizeNo
Behavior2/5

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

With no annotations, the description should fully disclose behavioral traits. It mentions batching and progress reporting but omits critical details like whether the tool modifies data, safety concerns, or authentication requirements. The description does not warn about potentially destructive SQL operations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a single-purpose summary and structured Args/Returns. No extraneous text, though it could be more informative without losing conciseness.

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

Completeness2/5

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

Given the tool's complexity (SQL execution with optional batching, no output schema) and zero annotations, the description is incomplete. It fails to explain return value format, error handling, or when to adjust batch_size. The agent lacks sufficient context to use it safely.

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

Parameters2/5

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

Schema coverage is 0%, so the description must add meaning. It provides minimal descriptions for 'query' and 'batch_size' (e.g., 'SQL query to execute') but lacks constraints, valid ranges, or examples. The batch_size default and meaning are implied but not elaborated.

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 clearly states the action ('Execute a SQL query') and the unique output format ('return the results in batches as a single string'). This distinguishes it from siblings like execute_query, which likely returns results differently.

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

Usage Guidelines2/5

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 (e.g., execute_query). There is no mention of prerequisites, limitations, or exclusions.

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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