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mitchallen

random-mcp-server

by mitchallen

List Records

list_records

Return seeded records for a chosen kind; optionally cap results with count, or omit count for the full pool. Use empty to get [].

Instructions

Return the seeded pool of records for kind.

Pass count to cap how many are returned (from the front of the pool); omit it to return the whole pool. empty always returns [].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
countNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.3

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses default behavior (whole pool when count omitted), truncation semantics (capped 'from the front of the pool'), and the empty edge case, which is more than the schema offers. It does not address error behavior for invalid kind or confirm the read-only/non-destructive nature, leaving gaps.

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?

Three tightly scoped sentences with no filler; the core purpose leads and the parameter behavior follows. Every sentence earns its place and nothing is redundant.

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

Completeness4/5

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

An output schema exists, so return-value documentation is not strictly required, yet the description still clarifies result shape and truncation. For a simple 2-param read tool this is nearly complete; only the meaning of the non-empty kind enum values is unexplained.

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

Parameters4/5

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, and it does: it explains that kind selects a pool and that count caps results from the front, resolved to the full pool when omitted. It does not explain what the enum values (people, words, values, coords) actually contain, so the compensation is good but not complete.

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?

States a specific verb and resource: 'Return the seeded pool of records', clearly a bulk-list operation. It is distinguishable from siblings like get_record (single record) and count_records (count only) by semantics, though it never names or contrasts them explicitly.

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?

Provides situational guidance for the count parameter (cap the result vs omit for whole pool) and the empty case, which implies usage. However, it never states when to choose this tool over count_records or get_record, nor any exclusions or prerequisites.

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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