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Update quota condition

update_quota_condition
Idempotent

Change the question and/or answer code of a quota condition.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qidNoNew question id.
codeNoNew answer code.
quota_idYesQuota id (from list_quotas).
member_idYesCondition (member) id (from list_quotas → quotas[].members[].id).
survey_idYesSurvey id (see list_surveys, or the survey_id returned by a create tool).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already establish the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=true), and the description is consistent with them. The 'and/or' phrasing adds genuine behavioral nuance about partial updates, but the description does not disclose what happens if neither qid nor code is supplied, nor whether other condition properties are preserved.

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?

A single front-loaded sentence of eleven words that conveys verb, resource, and scope with zero filler. The 'and/or' construction packs precise partial-update semantics into minimal space.

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

Completeness3/5

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

For a 5-parameter update tool with a dense schema, the description plus schema covers most of what an agent needs: what is changed, and where to source the required IDs. The notable gap is that qid and code are both optional in the schema yet no guidance states that at least one must be provided, leaving room for a no-op call.

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 schema descriptions are unusually helpful — they include provenance hints (e.g., 'from list_quotas → quotas[].members[].id', 'see list_surveys'). The description adds nothing beyond the schema's documented parameter meanings, so the high-coverage baseline of 3 applies.

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 ('Change'), a specific resource ('quota condition'), and the precise scope ('question and/or answer code'). This cleanly distinguishes it from sibling tools like add_quota_condition, remove_quota_condition, and update_quota (which targets the quota itself, not its condition).

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

Usage Guidelines3/5

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

Usage is implied by the name and description: this modifies an existing condition rather than adding or removing one, which the sibling names (add_quota_condition, remove_quota_condition) make evident. However, there is no explicit when-to-use guidance, no named alternatives, and no statement of when this tool should NOT be used.

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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