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lbruce-wq

Survey Solutions MCP Server

by lbruce-wq

apply_qc_feedback_batch

Apply an approved batch of quality control feedback to Survey Solutions assignments. Requires explicit batch ID confirmation and appropriate write permissions.

Instructions

Apply a prepared feedback batch after explicit approval. Requires fieldwork_write/admin_write and exact batch confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
batchYes
profileNo
max_actionsNo
confirm_batch_idYes
Behavior3/5

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

With no annotations, the description must carry the behavioral disclosure burden. It does disclose that this is a gated mutation requiring explicit approval, fieldwork_write/admin_write, and exact batch confirmation. However, it does not describe what applying the batch actually changes, whether it is reversible, or what side effects may occur.

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?

One dense sentence conveys the action, the prerequisite, the required permissions, and the confirmation requirement. Every phrase earns its place, and the most important information is front-loaded.

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?

For a tool with four parameters, a nested object, 0% schema coverage, and no output schema, this description is too sparse. It omits the batch object structure, the role of profile, the meaning of max_actions, and what a successful application returns or looks like. It earns a 2 rather than a 1 because the approval/permission prerequisites are useful and actionable.

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 description coverage is 0%, so the description needed to compensate. It only gives vague meaning to 'batch' (a prepared feedback batch) and 'confirm_batch_id' (exact batch confirmation), while 'profile' and 'max_actions' remain entirely unexplained. The nested batch object structure is also undocumented.

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 ('Apply') and a specific resource ('prepared feedback batch'), and the qualifier 'prepared' plus 'after explicit approval' clearly distinguishes it from its sibling prepare_qc_feedback_batch. An agent can immediately understand this is the execution counterpart to the preparation step.

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

Usage Guidelines4/5

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

The description provides clear context for when to use the tool: after explicit approval, with the required permission level, and with exact batch confirmation. It does not explicitly enumerate exclusions or name alternative tools, but the 'prepared batch' qualifier makes the relationship to prepare_qc_feedback_batch evident.

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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