approval_resolve

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool performs an approval/denial action, implying a mutation, but doesn't disclose any behavioral traits like required permissions, whether the action is reversible, rate limits, or what happens after resolution. This is a significant gap for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with just four words, front-loaded with the core action. There's no wasted text, making it easy to parse quickly. However, this conciseness comes at the cost of completeness.

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

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

Given the tool's complexity (a mutation with 2 parameters), lack of annotations, and low schema coverage (0%), the description is incomplete. While an output schema exists (which might cover return values), the description doesn't provide enough context about usage, parameters, or behavior to be fully helpful for an AI agent.

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

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

The input schema has 2 parameters with 0% description coverage, so the schema provides no semantic information. The description doesn't add any meaning beyond the parameter names—it doesn't explain what 'approval_id' refers to, what valid 'decision' values are, or how they affect the outcome. This fails to compensate for the low schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Approve or deny an action' clearly states the tool's function with a specific verb ('approve or deny') and resource ('an action'), but it doesn't distinguish this from sibling tools like 'approval_request' or provide any context about what type of action is being approved/denied. It's vague about the domain or scope of the action.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing approval request), exclusions, or how it relates to sibling tools like 'approval_request'. There's no context for when this tool is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.