callback_check

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

With no annotations, the description carries the full burden of behavioral disclosure, but 'Check callback token' reveals nothing about side effects, return format, or whether this is a read-only validation. The agent cannot infer whether this tool blocks, queries a database, or performs any other action.

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 only four words, which is concise, but it is under-specified rather than appropriately sized. There is no structure or additional context to help the agent, making the brevity a deficiency rather than a strength.

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?

The tool is a simple single-parameter tool, but with no output schema and no behavioral context, the description is incomplete. The agent has no idea what result to expect, whether the token is validated against known callbacks, or what failure looks like.

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 only defines 'token' as a string with 0% description coverage. The description says 'callback token', but that simply restates the tool name and parameter name without adding format, source, or purpose details. No meaningful semantic value is added beyond the schema.

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 uses a verb ('check') and a resource ('callback token'), but 'check' is vague and does not specify what checking entails (validity, existence, format). It also fails to distinguish this tool from callback_list or callback_latest, which could also involve inspecting callback data.

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?

No guidance is provided on when to use this tool versus alternatives like callback_list, callback_latest, or callback_generate. There is no mention of prerequisites or expected context, so the agent receives no decision-making support.

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