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refine_project_creation_preflight

Submit the user's explicit answer to the receipt's exact next question to generate a corrected project creation preflight receipt bound to the server-amended draft.

Instructions

Submit one explicit user's answer to the receipt's exact next question.

Pass the complete receipt unchanged and set confirm_user_answer=true only when the answer came from the user. Never infer an answer, answer the critic autonomously, or use this tool when the receipt has no open question. The result is a new receipt bound to the server-amended draft.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answerYes
receipt_jsonYes
confirm_user_answerNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv0.1.1

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It does well by disclosing the need to pass the complete receipt unchanged, the confirm_user_answer guardrail, the prohibition on inference, and the fact that the result is a new receipt bound to a server-amended draft. It could be more explicit about side effects or failure behavior, but the key behavioral traits are visible.

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?

Four sentences with no filler. The action is front-loaded, then constraints are given in compact imperative form. Every sentence adds either semantic or behavioral value.

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?

The description explains the main workflow, the required input constraints, and the result shape. Since an output schema exists, the description need not detail return fields. It is slightly thin on how to obtain the receipt or what "server-amended draft" implies, but for direct invocation it is sufficiently complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry parameter meaning, and it does. It explains receipt_json should be the complete unchanged receipt, answer is the explicit user answer to the exact next question, and confirm_user_answer is only true when the answer came from the user. This fully compensates for the lack of schema descriptions.

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 opens with a specific verb and resource: "Submit one explicit user's answer to the receipt's exact next question." It clarifies the exact scope of the tool and the outcome ("The result is a new receipt bound to the server-amended draft"). This is specific enough to distinguish it from generic project creation or feedback tools.

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 gives strong when-to-use and when-not-to-use guidance: use it when there is an open question with an explicit user answer, and "Never infer an answer, answer the critic autonomously, or use this tool when the receipt has no open question." It does not explicitly name alternative tools such as submit_project_creation_preflight_feedback, so it falls short of full alternative routing.

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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