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jordanmatusik24

fde-week3-agent

summarize_results

Read-only

Produce a natural-language summary of SQL query results, explaining patterns and comparisons across multiple rows.

Instructions

Produce a natural-language summary of query results.

Use this ONLY when the rows need narrative interpretation (multiple rows, aggregate patterns, comparisons across groups). For single-row lookups or trivially small results, answer directly in your response text without calling this tool.

Args: rows: The 'rows' list returned from query_sql. question: The user's original question, verbatim.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsYes
questionYes
Behavior3/5

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

Annotations already declare readOnlyHint=true. Description does not contradict and adds some context (input types from query_sql), but does not elaborate on behavioral aspects like output length or processing limits.

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?

Two concise paragraphs covering purpose, usage guidelines, and parameter explanations. No redundant sentences.

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

Completeness4/5

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

Explains purpose, when to use, and parameters. No output schema, but the output is natural language text; minor gap: does not specify output format or length constraints.

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

Parameters5/5

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

Schema coverage is 0% but description gives meaningful explanations for both parameters: 'rows' is from query_sql results, 'question' is the user's original query. Fully compensates for missing schema descriptions.

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?

Description clearly states the tool produces a natural-language summary of query results. It distinguishes from sibling tools by specifying it's for narrative interpretation, not single-row lookups.

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

Usage Guidelines5/5

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

Explicitly states when to use (multiple rows, aggregate patterns) and when not to (single-row lookups). Provides clear criteria and alternatives (answer directly).

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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