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Kyle Romero (kgromero.com)

list_documents

Read-onlyIdempotent

Downloadable resume formats plus the portfolio: architecture diagrams, process docs, project write-ups, certificates, and college lab reports, grouped by employer/school. Use get_document to read one.

Args:
    group: Optional filter by group name, e.g. "Resume", "MEARS", "HP", "Texas Tech",
        "Other". Case-insensitive substring.

Input Schema

NameRequiredDescriptionDefault
groupNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and closed-world, so the safety profile is covered. The description adds useful behavior beyond that: results are grouped by employer/school and the group filter is a case-insensitive substring match, which an agent could not infer from the annotations alone.

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

Conciseness4/5

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

The purpose is front-loaded in the first sentence and the alternative tool is named immediately after. The 'Args:' block is slightly redundant in form but earns its place given the 0% schema coverage, so there is little waste.

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?

With an output schema present, the description need not explain return values, and it covers purpose, grouping, filtering, and the read-one alternative. For a single-optional-parameter list tool this is essentially complete, with only minor gaps around ordering or result size.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must carry the parameter meaning, and it does: group is optional, filters by group name, with concrete example values ("Resume", "MEARS", "HP", "Texas Tech", "Other") and case-insensitive substring semantics. This fully compensates for the bare schema.

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 names a specific resource set (resume formats, architecture diagrams, process docs, project write-ups, certificates, lab reports) and states they are grouped by employer/school, which lets an agent distinguish it from get_document. The listing verb is only implied by the name rather than stated outright, keeping it just short of a 5.

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

Usage Guidelines4/5

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

It explicitly routes the agent: 'Use get_document to read one,' giving a clear alternative and the condition that selects it. It does not spell out when-not to use this tool (e.g., when searching by keyword), so it falls short of full when/when-not coverage.

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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