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Get Results

get_results

Retrieve aggregated survey results: status, total responses, per-question choice tallies with percentages, scale mean/median/distribution, and recent text responses. Indicates if survey remains open for additional replies.

Instructions

Retrieve aggregated results for a survey. Shows survey status (open/closed), total response count, and per-question results: choice tallies with percentages, scale mean/median/distribution, and recent text responses. If the survey is still open, call again later to check for new responses — the output will tell you. Use close_survey when you have enough responses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
survey_idYesThe survey ID from the create_survey output (last segment of the survey_url, e.g. "abc123efgh45")
Behavior4/5

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

Discloses that the output indicates if survey is open and suggests re-calling. Since no annotations exist, the description compensates well, though it could explicitly state the tool is read-only.

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 concise, well-structured, and front-loaded with the core purpose. Every sentence adds value without waste.

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?

Despite no output schema, the description thoroughly covers the return content (status, counts, per-question details) and provides context for re-calling. Completeness is high for the tool's complexity.

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

Parameters3/5

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

Schema coverage is 100% with an already detailed description of survey_id. The description adds no extra meaning beyond the schema, so baseline 3 is appropriate.

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 specifies the verb 'retrieve' and resource 'aggregated results for a survey', listing specific output details (status, counts, per-question results). It clearly differentiates from siblings like close_survey.

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 advises to call again if survey is open and recommends using close_survey when enough responses are collected, providing clear when-to-use and alternatives.

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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