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ruya-grp

fusion-query-mcp

by ruya-grp

fusion_commit_action

Destructive

Executes a prepared Fusion action after user approval, changing data. Use the single-use token from prepare_action and set confirmed=True only after explicit consent.

Instructions

Execute a prepared action. THIS CHANGES DATA IN FUSION.

Requires the token from fusion_prepare_action and confirmed=True, which you may only set after the user has seen the preview and said yes. The token is single-use: a refused attempt needs a fresh prepare, which is also where you add the fields the pod asked for.

When the pod refuses, its own message and the fields it named come back rather than a summary -- that message is the next question to ask the user.

Args: token: From fusion_prepare_action. confirmed: Set True only after explicit user confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYes
confirmedNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A5/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint=false, destructiveHint=true), it discloses that the token is single-use and that a refusal returns the pod's message and named fields rather than a normal summary. This materially changes how the agent should handle the response and subsequent user interaction.

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?

The description is compact and front-loaded with a clear safety warning. The prose and Args section reinforce the critical confirmation requirement with minimal redundancy and no filler.

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

Completeness5/5

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

It covers the token lifecycle, the confirmation requirement, direct edit behavior, single-use semantics, and refusal behavior. Since an output schema exists, not listing return fields is acceptable; the description is complete enough for safe and correct invocation.

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 carries the full burden for both parameters. It clearly defines token as coming from fusion_prepare_action and confirmed as only set after explicit user confirmation, adding meaning the schema's titles and default value do not provide.

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 uses a specific verb and resource: 'Execute a prepared action,' and immediately signals that it changes data. It also distinguishes itself from fusion_prepare_action by referencing the token required from that prepare step, making the tool's role unambiguous.

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

Usage Guidelines5/5

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

It states exact preconditions: a token from fusion_prepare_action and confirmed=True only after the user has seen the preview and said yes. It also explains the failure path—a refused attempt needs a fresh prepare—so the agent knows when to go back to the sibling tool instead of retrying.

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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