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lbruce-wq

Survey Solutions MCP Server

by lbruce-wq

qc_comment_theme_summary

Summarizes comment themes from survey exports without exposing full free text. Counts comments by variable, role, originator, and optional theme labels to reveal patterns.

Instructions

qc_comment_theme_summary: Summarize comment themes without exposing unnecessary free text.

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: comments, text metadata.
thresholdsNoWorkflow-specific thresholds; see properties for names and units.
export_pathNoPath to a readable export package. Required export type: Tabular support files or inspected export with comments.
confirm_plan_idNo
questionnaire_identityNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions one safety behavior (not exposing unnecessary free text) but omits critical details such as the required export type, exclusion of empty comments, output structure, and any side effects or processing behavior. The schema has exclusion rules, but the description does not reflect them, so transparency is low.

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 sentence with no fluff, front-loading the core purpose. It is concise, but its brevity borders on under-specification for a tool with eight parameters. Still, for conciseness and structure, it is efficiently written, though it lacks any structured breakdown of usage.

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

Completeness1/5

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

Given the tool has 8 parameters, no annotations, no output schema, and only 50% schema description coverage, the one-line description is seriously inadequate. It does not mention required export types, minimum data requirements, output contract, or exclusions, leaving agents without enough information to invoke the tool correctly. This is a significant gap.

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?

The parameter schema already explains some parameters (rules, variables, thresholds, export_path), but coverage is only 50%. The description adds no parameter-specific meaning beyond the one-line summary. For parameters like plan, profile, confirm_plan_id, and questionnaire_identity, the description provides no additional context, failing to compensate for the schema's gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Summarize') and a resource ('comment themes'), and adds a meaningful constraint about not exposing unnecessary free text. It is clear what the tool does, but it does not explicitly differentiate it from sibling tools like summarize_export_qc or other QC analyzers, leaving some room for ambiguity.

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, no mention of prerequisites (e.g., required export type or minimum data), and no exclusions or conditions. The description implies a use case but does not state it explicitly, leaving the agent to infer when this tool is appropriate.

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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