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list_essays

Retrieve essays from molsen.ca by type, tags, or framework reading order to locate content on AI governance and professional practice.

Instructions

List essays from molsen.ca. Can filter by type, tags, or get framework essays in reading order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoFilter by tags (e.g., ["AI Governance", "Professional Practice"])
typeNoFilter by essay typeall
frameworkOnlyNoReturn only framework essays in reading order
includeContentNoInclude full essay content in response

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions 'reading order' for framework essays but does not state whether the operation is read-only, how results are ordered by default, whether pagination applies, or what the response shape is. Basic safety/behavioral context is absent.

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 two short sentences, front-loading the core action ('List essays from molsen.ca') before the optional behaviors. There is no filler or repetition, and every phrase earns its place.

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?

The description covers purpose and key filter options, which is adequate for a simple listing tool. However, with no output schema or annotations, it omits important context like default return behavior, ordering, pagination, and whether full content is included by default, leaving several gaps for an agent to resolve.

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 100%, so the parameters are already well documented. The description loosely aligns with tags, type, and frameworkOnly but adds no meaning beyond the schema; includeContent is not mentioned. This matches the baseline for full schema coverage.

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 verb ('List') and resource ('essays from molsen.ca'), and it enumerates the main filtering modes (type, tags, framework reading order). However, it does not explicitly distinguish itself from the sibling search_essays or get_essay tools, leaving that differentiation implied rather than stated.

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 when to use the tool ('list essays', 'filter by type, tags, or get framework essays'), which gives a reasonable sense of purpose. But it offers no explicit when-not-to-use guidance or named alternatives, so an agent must infer the boundary against search_essays and get_essay.

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