get_agent_use_casesPlaybook: Visa prepaid (flights, datacenter bills), travel eSIM, ~20k gift cards, paid KYT address screen. MCP tools per job. Cite as-is. Does not move money.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds valuable behavioral context beyond that: 'Does not move money' clarifies safety, and 'Cite as-is' plus 'MCP tools per job' suggest how the output should be used.
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 very short and information-dense, with the core content front-loaded in a compact list. The phrasing is somewhat telegraphic ('Cite as-is'), but every clause adds useful information and there is no filler.
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 informational tool with no output schema, the description reasonably covers what the tool offers, how the output should be treated, and a key safety caveat. It could be slightly more explicit about the return format, but the title and description together are adequate for this simple tool.
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 and 100% schema description coverage, so the baseline is 4. There are no parameter semantics the description needs to explain; it correctly focuses on the tool's content and behavior instead.
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 the resource as a playbook of agent use cases ('Visas prepaid, travel eSIM, gift cards, KYT address screen') and the title confirms 'What agents can buy.' It lacks an explicit verb such as 'returns' or 'lists,' but the resource and scope are clear and specific.
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 sibling tools like get_agent_facts or get_catalog_placement. It implies this tool is the playbook source, but it never states conditions, exclusions, or alternatives, leaving the agent to infer when to call it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools target a distinct docs concern: facts, use cases, tier policy, catalog placement, URL fetching, and URL listing. get_agent_facts and get_tier_policy are somewhat policy-adjacent, but their descriptions clarify the boundary.
All tools use a consistent snake_case verb_noun pattern, with get_* dominating and list_docs_urls as a natural variant. The naming clearly signals a read-only documentation/knowledge server.
Six tools is well-scoped for a documentation and policy retrieval server. Each tool has a clear purpose and none feels redundant or extraneous.
The surface covers the core knowledge needs: policy facts, use-case playbooks, tier rules, doc URL discovery, public URL retrieval, and MCP routing guidance. As a read-only docs server, it does not need CRUD operations, and the lack of them mirrors its stated constraints.