Pick the gift offer a recipient would actually want by matching what you already know about them, without their data ever leaving you.
The gift-offer shelf. Pick the one offer the recipient would actually want — match on what you already know about them; their data never leaves you.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the disclosure burden. It adds a meaningful behavioral trait: 'their data never leaves you' signals privacy/local processing. However, it does not explicitly describe what the tool returns, whether it calls external services, or any other side effects, though for a zero-parameter read-oriented tool this is a reasonable level of disclosure.
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 two short sentences, front-loaded with the core concept and free of filler. The second sentence combines selection guidance with a privacy note; both carry signal, though the tone is slightly more marketing-like than technical, which keeps it from a 5.
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 no-input tool this is mostly sufficient: an agent can infer it should call get_offers to obtain or consider gift offers and use known recipient context. However, the description never explicitly states whether the response is a list or a single offer, and it assumes the agent already understands how to use recipient data in the 'match' instruction, which is a notable gap without an output schema.
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 is empty and parameter count is 0, so there is nothing for the description to document. Baseline 4 is appropriate because no parameter semantics are missing.
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 identifies gift offers as the resource ('gift-offer shelf') and asks the agent to pick the one the recipient would want, so it is not a tautology. However, it lacks a clear verb+resource statement such as 'Returns gift offers'; the metaphor and imperative leave the exact operation somewhat ambiguous. The sibling tools are thematically different but no explicit distinguishing phrase is given.
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?
It implies use when a gift offer needs to be selected for a recipient, especially based on existing knowledge about that person. It never states when not to use it or names an alternative tool, so the usage logic is left mostly to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.