Get a payload example

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

No annotations are provided, so the description carries the full behavioral burden. It discloses that samples are 'real' (not synthetic), but says nothing about what happens on an unrecognized name, whether the list is exhaustive, output format, or any access constraints.

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?

Two compact fragments with the core purpose front-loaded before the value list. Nothing is wasted, though the trailing list is a bare run-on with no per-name explanation of what each sample contains.

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 simple single-parameter read tool with no output schema, the agent still lacks any indication of the return shape or the meaning of each sample name. The enumerated names cover the input side adequately but leave the output side to inference.

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?

Schema coverage is 0% and the single 'name' parameter has no enum, so the description does the heavy lifting by enumerating ten valid sample names. This effectively supplies the missing value domain, though it does not state whether the list is complete or case-sensitive.

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 the resource plainly ('Real payload samples') and the title adds the verb ('Get a payload example'), so an agent understands it retrieves example payloads. It is clear but does not differentiate itself from siblings like get_schema or get_endpoint, which could also be read as returning structural samples.

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?

There is no when-to-use or when-not guidance and no routing to alternatives. The enumerated names imply the tool is keyed by sample type, but nothing tells the agent why to pick this over get_schema or get_page when it wants example data.

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