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Update my application details

update_application
DestructiveIdempotent

Save supported application text the applicant voluntarily provides or asks to correct, including supported basic identity and contact fields. Updates can replace or clear previously saved values. Do not proactively solicit private details. Read the latest revision first; clarify ambiguous intent, quoted or third-party information before writing. Do not invent unsupported fields. Existing private values remain hidden in safe reads. Documents use Forms. After a conflict re-read; after timeout retain operationId.

Input Schema

NameRequiredDescriptionDefault
taskIdYes
operationIdYes
typeChangesNo
basicChangesNo
expectedRevisionYesUse the revision from the latest get_application result under this exact key.

Output Schema

NameRequiredDescriptionDefault
idYes
formNo
typeYes
filesNo
localeNo
statusYes
contactNo
revisionYes
typeDataYes
interviewNo
assessmentNo
chatPolicyNo
notificationNo
followUpItemsNo
allowedActionsNo
blockingIssuesNo
contactAdvisorUrlNo
completionContactsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

The description adds substantial behavior beyond the annotations: updates may replace or clear existing values, ambiguous or third-party data should be clarified, unsupported fields must not be invented, conflicts require a re-read, and timeouts require preserving operationId. This is consistent with destructiveHint and idempotentHint and gives an agent practical mutation-safety context.

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 compact and mostly front-loads the key scope and consent rule. Some sentences, such as 'Documents use Forms' and 'Existing private values remain hidden in safe reads,' feel abrupt, but there is little empty filler.

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 complex nested mutation with an output schema, the description covers consent, revision handling, idempotency, conflict recovery, and high-level parameter placement. It is not fully complete because most nested field semantics are left to a schema with low description coverage.

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 only 20%, so the description must carry more parameter meaning. It helpfully says to use taskId, operationId, expectedRevision with basicChanges or typeChanges, routes study preferences under typeChanges.preferences, and warns against patch/typeData wrappers and revision key confusion. However, many nested fields and null-clearing semantics remain undocumented.

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 clearly states a specific action and resource: saving supported application details, including identity and contact fields, while indicating corrections and voluntary updates. It does not directly name competing siblings such as save_application_intent or submit_application, but the scope is still distinguishable.

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?

It gives clear usage conditions: only save data the applicant voluntarily provides or asks to correct, do not proactively solicit private details, re-read before writing, and clarify ambiguous intent. It lacks explicit routing to alternative tools, but the when/when-not guidance is strong.

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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