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list_members

List all member names in a mainframe PDS dataset by supplying its dataset name.

Instructions

List members of a PDS (e.g. ADCDC.SOURCE.COBOL).

Args: pds: PDS dataset name without trailing (*).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pdsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses the input format constraint (no trailing (*)) but doesn't mention what the output looks like, whether it requires a connection, or any side effects. For a read-only listing tool, this is a moderate gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, with a clear example and a single important constraint. Every sentence earns its place, and the key usage note is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter tool with an output schema, the description is mostly adequate. It covers the essential input format. However, it doesn't mention whether a connection must be active, what happens with invalid PDS names, or how the output is structured, which an agent might need to know for error handling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does explain the pds parameter meaning and format, which adds value beyond the bare schema. However, it doesn't provide examples of valid values beyond the one example or clarify edge cases like quoted vs unquoted names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists members of a PDS and gives a concrete example. It is distinct from siblings like list_datasets and read_member, though it doesn't explicitly differentiate itself.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by specifying the input format (PDS name without trailing (*)), but it doesn't state when to use this tool versus alternatives like list_datasets or read_member. The context is clear enough for a simple tool, but no explicit exclusions or alternatives are given.

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