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List knowledge-base topics

list_topics

Lists available notes grouped by SEO, SaaS, or blog sections so agents can discover what the knowledge base covers.

Instructions

List the available notes, grouped by section (seo, saas, blog). Use to discover what the knowledge base covers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionNoRestrict to one section

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A3.5/5.0
Behavior3/5

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 does disclose the shape of the result (notes grouped by section), which is genuine value, but says nothing about read-only semantics, pagination, or permissions.

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?

Two short sentences, front-loaded with what the tool returns before the usage hint; nothing is redundant or padded.

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?

For a zero-required-param, no-output-schema read tool with full schema coverage, the description supplies enough: what is listed and how results group. Only the absence of sibling routing keeps it from being fully complete.

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 coverage is 100% and the single section parameter already carries its own enum and description, so the schema does the heavy lifting. The description only echoes the enum values, adding no extra filtering semantics.

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 (List) and resource (notes/topics) and previews the grouping dimension (section, with the three enum values). It does not explicitly contrast itself with the closest sibling search_knowledge, so it falls 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 Guidelines3/5

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

"Use to discover what the knowledge base covers" gives one implied use case (browsing/overview) but names no alternative and no when-not condition, leaving the agent to infer that search_knowledge is for targeted lookup.

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