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Get Quota Disqualified Count

get_quota_disqualified_count
Read-onlyIdempotent

Returns quota-disqualification statistics: Value = disqualified responses, Total = all responses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesSurvey publication code — the 8-character code from the survey's public link (e.g. 1a2b3c4d). Returned by list_surveys.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNo
totalNo
valueNo
percentNo
metaTypeNo
optionIDNo
columnNameNo
totalChoicesNo
percentChoicesNo
cumulativePercentNo
stackSharePercentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and a closed world, so the safety profile is fully covered. The description adds only the field semantics of Value and Total, which is useful context but overlaps with the declared output schema.

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?

One compact sentence with the core purpose front-loaded and no filler. The Value/Total gloss is arguably redundant with the output schema but is short and unambiguous.

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?

For a read-only, single-parameter statistics tool with full schema coverage and an output schema, the description is sufficient to invoke correctly. Its only real gap is the unstated relationship to get_quota_qualified_count.

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 description coverage is 100% and the single 'code' parameter is well documented there (format, example, where it comes from). The description adds no parameter meaning beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource: 'Returns quota-disqualification statistics.' The 'disqualified' qualifier implicitly separates it from the sibling get_quota_qualified_count, though it never names that sibling explicitly.

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?

No guidance on when to use this versus the near-identical sibling get_quota_qualified_count, nor any precondition beyond the schema's required code. The agent must infer the distinction from the tool name alone.

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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