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Gonzih
by Gonzih

resolve_approval

Approve or deny a held message awaiting parent review. Make a decision on a child's AI interaction and optionally add a note.

Instructions

Approve or deny a held message. Called by parent (or via bot command).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
decisionYesParent decision
approvalIdYesThe approval ID to resolve
parentNoteNoOptional note from parent
Behavior2/5

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

With no annotations available, the description must fully disclose behavior. It identifies the action as approving or denying a held message, but omits critical details such as required permissions, side effects, reversibility, error behavior, or what happens after resolution. This is insufficient for a state-changing tool.

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 extremely concise with two short sentences, each adding value: the first states the tool's purpose and the second gives invocation context. No wasted words or redundancy.

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

Completeness2/5

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

The tool has no output schema and no annotations, so the description must cover outcomes and prerequisites. It does not mention what happens on success or failure, nor any return values or post-resolution effects. The minimal text is not enough for a mutation tool in a workflow context.

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?

The input schema provides full descriptions for all three parameters, including the enum for decision, so baseline is 3. The description adds no additional parameter semantics beyond what the schema already provides.

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 clearly states a specific action (approve/deny) on a specific resource (a held message). It distinguishes the tool from siblings like list_pending by indicating this resolves an approval rather than listing them.

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?

The description mentions it is called by a parent or via bot command, implying usage in an approval workflow, but does not explicitly state when to use this tool over alternatives or when not to use it. No exclusions or alternative tool references are provided.

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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