list_nodes
List the countries on the record: each node's door, languages, state and, for an open node, its counts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List the countries on the record: each node's door, languages, state and, for an open node, its counts.
| 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?
With no annotations, the description must carry the full burden of behavioral disclosure. It implies a read-only listing operation but does not explicitly state that, nor does it clarify what 'open node' means, whether there are side effects, or any performance or authorization considerations. The description adds only minimal behavioral context beyond the tool name.
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 a single sentence, which is concise, but it is structured poorly by leading with 'countries' when the actual subject is nodes. The front-loading misdirects the agent, and the sentence is not optimally structured for immediate comprehension.
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 description lists the attributes returned (door, languages, state, counts), which is useful. However, it does not define what a 'node' is in this domain, what 'open node' means, or the output format (e.g., array, object). Given the lack of output schema and annotations, more context is needed for an agent to interpret the result correctly.
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 the schema coverage is 100% (empty object). Per the rubric, a zero-parameter tool gets a baseline of 4. The description adds no parameter information, but none is needed since there are no parameters to explain.
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 the verb 'List' and specifies fields (door, languages, state, counts), so it is not a tautology. However, it opens with 'List the countries on the record' which contradicts the rest of the text about nodes, creating confusion about the actual resource being listed. This ambiguity reduces clarity and prevents a higher score.
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 gives no indication of when to use this tool versus siblings like get_record or search_drinks. It neither names alternatives nor describes scenarios that would favor this tool. An agent would have no guidance on selection.
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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