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lbruce-wq

Survey Solutions MCP Server

by lbruce-wq

qc_submission_timing_bursts

Detect suspicious submission patterns by analyzing timestamps for bursts or unusually short gaps between submissions by the same interviewer.

Instructions

qc_submission_timing_bursts: Flag suspicious bursts of submissions or very short gaps between submissions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planNo
rulesNoWorkflow-specific rule objects. For logical checks, each rule should include variables, condition, and expected relationship.
profileNo
variablesNoVariable names to evaluate. Supported variable types: datetime, system metadata.
thresholdsNoWorkflow-specific thresholds; see properties for names and units.
export_pathNoPath to a readable export package. Required export type: Paradata or Tabular with timestamps.
confirm_plan_idNo
questionnaire_identityNo
Behavior2/5

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

With no annotations, the description must carry the behavioral disclosure burden, but it only says 'Flag suspicious bursts' without explaining the methodology, what counts as suspicious, whether it is read-only, or what it returns. The schema's x_suso_qc outputContract adds some structure, but the description itself remains thin.

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 a single, direct sentence with no obvious padding. The redundant tool-name prefix is minor. It is front-loaded and easy to parse, though very brief.

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?

The tool has 8 parameters, nested objects, no output schema, and no annotations, yet the description does not explain inputs, configuration, or expected outputs. The x_suso_qc extension fills some gaps, but an agent would still lack practical guidance on how to invoke and interpret the tool correctly.

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 only 50%, and the description adds no parameter-level meaning. It does not explain plan, rules, profile, confirm_plan_id, questionnaire_identity, or how thresholds map to the detection behavior. The schema's own descriptions for thresholds and export_path carry most of the semantic weight.

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 ('Flag') and resource ('submissions'), and identifies the behavior: flagging suspicious bursts or very short gaps between submissions. This clearly differentiates it from sibling QC tools like qc_duplicate_records or qc_interview_duration.

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?

There is no guidance on when to use this tool versus alternatives such as investigate_interviewer_anomaly, summarize_interviewer_activity, or other QC checkers. The schema mentions required export type and minimum data, but the description itself provides no usage context 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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