capabilities
Read current free offer, category IDs and payment boundaries.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read current free offer, category IDs and payment boundaries.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the specific data returned (free offer, category IDs, payment boundaries), which is useful context beyond the annotations. It doesn't disclose pagination, rate limits, or other behavioral details, but for a zero-parameter read tool this is acceptable.
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?
A single, compact sentence that front-loads the verb and lists the exact data returned. No wasted words, and the structure is easy to parse.
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?
For a zero-parameter, read-only tool with no output schema, the description is nearly complete. It tells the agent what data it will receive. The only minor gap is not describing the format or structure of the returned data, but with no output schema and no parameters, this is a minor omission.
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 tool has zero parameters, so the schema provides no parameter documentation. The description compensates by clearly stating what data the tool returns, which is the only semantic information an agent needs to invoke it correctly. Baseline 4 for zero-parameter tools is appropriate.
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 states a specific verb ('Read') and a clear resource ('current free offer, category IDs and payment boundaries'). It distinguishes itself from siblings like publish_free and quote by indicating a read-only informational operation, though it doesn't explicitly name those siblings.
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 implies this is the tool to use when you need current free offer, category IDs, or payment boundaries. It doesn't explicitly state when not to use it or mention alternatives, but the read-only nature and resource list provide adequate context for an agent to select it.
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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